Projects Download by Leadingindia.ai

Pothole Detection Using Mobile Sensors

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Real Time Vehicle Classification and Lo...

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Click Fraud Detection Using Deep Learning

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Convoluted Cosmos: Automatic Classifica...

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Real Time Multiple Object Detection On Road

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Emotion Detection using Physiological S...

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Pedestrian Detection with YOLO techniqu...

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Emotion recognition through facial expr...

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Volume Control using Hand Gestures Reco...

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Road Damage Detection Using Machine Lea...

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Lane Detection Using Deep Learning

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Chatbot using Recurrent Neural Networks...

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Eye Wink Detection using EEG Signals

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" Facial Emotions Recognition Appli...

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Controlling a Mobile Robot using Brain ...

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Design & Implementation Of Processing ...

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"Face recognition technique in bank loc...

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Drowsiness Detection Using Facial Images

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Face Recognition and Tracking

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Personality & Gender Prediction From Tw...

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Automated Analysis and Personality Pred...

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Image To Speech Converter

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Age and Gender Classification

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Forest Fire Detection through UAV image...

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Image Classification Using CNN

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Fake News Detection

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CLASSIFICATION OF IMAGES INTO NATURAL, ...

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Footprint Classification

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Wake UP Word Detection

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Path Identification for Indoor Movement

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Short Messages Spam Filtering Combining...

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Technical Solutions For Visually Impaired

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Power consumption Forecasting

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Intrusion Detection in Software Defined...

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Human activity Detection

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Roman to Devanagari Conversion for code...

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Image to Image Translation using GAN

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classification of Sleep Disorder Using ...

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Road Asset Detection

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Stock Market Prediction

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Real Time Age, Gender and Emotion Detec...

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Emotion Analysis Using Speech

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Text to Image generation using Generati...

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Human detection for Search and Rescue o...

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Emotion Detection using Video

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Vehicle Detection System For Self-Drivi...

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Video Super Resolution

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Human detection for Search and Rescue o...

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Concrete Mix Design

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Interview ChatBot

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Generation of Video from Text

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Plant Leaf Disease Detection using deep...

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Road Traffic Analysis using Faster R-CNN

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Cardiovascular Disease Prediction

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Video Object Segmentation Using OSVOSS

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Bird Identification Using Minimal Sample

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Multimodal Emotion Recognition in Polish

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Predict Future Sales

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Predicting Crop Categories using Hypers...

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Jigsaw Unintended Bias In Toxicity Clas...

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Review On Machine Learning Algorithms F...

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Pump it Up: Mining the Water Points Usi...

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Jigsaw Unintended Bias in Toxicity Clas...

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The Winton Stock Market Challenge

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DengAI: Prediction disease spread

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Heart Disease Prediction Using Machine ...

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Multivariate Chaotic Time series using ...

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Mortality Prediction Using Artificial I...

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Google Landmark Recognition

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RED BALL KICKING BY NAO

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REBOOT-BOX-PLOT FOR EDUCATION

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Multi Person Pose Estimation

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Human interaction with NAO Humanoid

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MULTIPLE OBJECT DETECTION

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Building a Recommendation Engine (Power...

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Stock prediction based on Numerai

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Multi-Person Pose Tracking

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WAD:Water Anomaly Detection using Deep ...

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3D Point cloud classification

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Building a RECOMMENDATION ENGINE

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RumourEval 2019

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CPVVV 2017 Leaf Segmentation Challenge (LSC)

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Aerial Cactus Identification

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Weed Detection in Dense Cultures

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Video Segmentation

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SIMAH (Social Media and harassment) Cat...

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Jigsaw Unintended Bias in Toxicity Clas...

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Video Surveillance System to identify a...

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Traffic flow prediction

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Human Identification Using Autonomous Drone

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RECOGNIZING FACES IN THE WILD

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Automated Gaming Pommerman using Reinf...

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ImageNet Object Localization Challenge

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Human Activity Recognition

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Skin Lesion Analysis towards Melanoma D...

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Liver Tumor Segmentation

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House Price Prediction

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Semantic Labelling of 3D-Point

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Road Crack Detection and Segmentation f...

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Cast Search By Portrait

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Visual Relationship Detection using VTr...

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RICHTER PREDICTION:PREDICTING DAMAGE CA...

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Semantic Segmentation of Satellite Imag...

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Characterization of Binary Machine Lear...

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WIDER FACE DETECTION (TRACK 1)

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DOG BREED IDENTIFICATION

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Kidney Tumor Segmentation Using Deep Learning

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Future Sales Prediction

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Open Images v5–Object Detection

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Segmentation of thoracic organs

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Detecting pair of object in a particula...

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Human Interaction and Object Handling by NAO

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Pneumothorax Segmentation

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Automated Detection of Liver Cancer in ...

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Wider Face Detection

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COCO DATASET STUFF SEGMENTATION CHALLENGE

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Affect In Tweets using Deep Learning Te...

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Echo Chamber based Fake News Detection ...

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Mortality Prediction using Machine Lear...

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WIDER Face and Persons Challenge 2019-T...

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Predicting Survival on Titanic Disaster

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Computer Vision for Wildlife Conservation

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Video Object Segmentation

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Digital Retinal Images for Vessel Extraction

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Malware Detection and Analysis Using Ma...

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Mortality Prediction : To Be or Not To Be

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HUMAN ACTIVITY CLASSIFICATION FROM DRON...

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HUMAN ACTIVITY CLASSIFICATION FROM DRON...

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Food Recognition Challenge

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Deep Object Removal From Video

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IMAGE CAPTIONING

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REPUTATION MANAGER

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HUMAN ACTION RECOGNITION

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STRAY ANIMAL DETECTION

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Robot Learning in Imperfect Scenario

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Human Detection Using Faster Region Con...

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Titanic Disaster Prediction using Machi...

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Identification of Aortic Valve Opening ...

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Maze solving algorithm with NAO

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Classification of Conditions of Water Pumps

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Extraction Of Critical Information From...

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Mapping Disaster Risk from Aerial Imagery

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VoIP Spam Detection using Machine Learning

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HUMAN INTERACTION WITH NAO HUMANOID

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Drone Surveillance For Search and Rescue

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Emotion Recognition Using EEG Signlas

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Optimization of neural nets using TensorRT

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Classification of Hoax and Non-Hoax New...

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MULTI-MODAL FAKE NEWS DETECTION

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Crop Yield Prediction through Different...

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Evaluation of Shallow and Deep Classifi...

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Fake News Detection with a Multimodal f...

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Making Deep neural network’s ready fo...

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A Structured Filter Pruning Approach fo...

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EEG Signal classification using Deep Learning

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Feature Extraction Technique For Classi...

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Using DCGAN To Generate Faces Of Anima...

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Deep Reinforcement Learning to train lo...

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Appearance Invariant Face Verification ...

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Chest X-Ray Images (Pneumonia) Detection

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Image classification of animals in Indi...

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SDN Traffic Classification using Deep L...

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Development of a model for Path Texture...

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HD QUALITY IMAGE GENERATION

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LUNG DISEASE CLASSIFICATION AND QUANTIF...

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Estimating cardiac time intervals from ...

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Fake news analysis modelling

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Classification of IOT Network Traffic b...

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Application of Machine Learning for Pre...

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FLU SHOT LEARNING: PREDICT H1N1 AND SEA...

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Speech Emotion Recognition using Deep l...

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Rule based Expert System to Identify T...

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MRI BRAIN TUMOR DETECTION AND CLASSIFIC...

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EAGLE’S EYE ON CYBERCRIME

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AI based Prediction of Rainfall from Sa...

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Prediction of Dynamic Cloud Resources P...

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Intelligent deployment strategy for het...

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ROUTING ALGORITHMS FOR ENERGY EFFICIENC...

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CATEGORIZING ANIMALS IN THE WILD

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Tree Species ClassificationUsing CNN

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Classification of Hyperspectral Imaging

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Human Activity Recognition using 2D pos...

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ECG Beat Classification using statistic...

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Topic modelling to group reviews

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AcapellApp: Separating music and voice ...

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Modeling and Performance Study of Time-...

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Deployment of Light Weight Object Detec...

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Optimized implementation of CNN

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RECOGNIZING SPECIFIC ACTIVITIES FROM AVIDEO

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Untrimmed video human activity recognit...

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AI based document imageprocessing for O...

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RGB to Hyper-Spectral Conversion

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Symmetric Image Encryption Technique fo...

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Symmetric Image Encryption Technique fo...

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Symmetric Image Encryption Technique fo...

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Social Distancing monitoring System for...

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366 subscribers Footprint Recognition ...

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Design a self driving car solution usin...

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leadingindia. ai 366 subscribers De...

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REBOOT-BOX-PLOT FOR EDUCATION

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PREDICTION OF DYNAMIC CLOUD RESOURCES P...

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Technical Analysis Based Stock Prediction

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Native and Non-Native English Speech Cl...

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Hyperspectral Image Classification and ...

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FACE TRAVEL APP

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Stability of Network Communities agains...

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URBAN SOUNDCLASSIFICATION

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Multiple Aggregation On Ensembles For F...

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Symmetric Image Encryption Technique fo...

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Surveillance of Identifying Vehicles Pa...

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Pose Estimation In Drone Videos For Ide...

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Armed, Injured and other Suspicious Act...

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Detecting Fake Profiles On Social Media

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Evaluation of Object Detection Approach...

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Fake News Detection Using Deep Learning...

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Fake News Instance Detection using Deep...

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Deep learning-based Feature extraction ...

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Deep Learning Based Water Feature Mappi...

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INDIAN CURRENCY CLASSIFICATION

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Classification of COVID-19 chest X-ray ...

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A Faster CNN for Identifying the Help/N...

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A light-weight CNN for Bird species cla...

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AccapellApp

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VIDEO ENHANCEMENT USING SINGLE IMAGE SU...

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SENTIMENTAL ANALYSIS OF AMAZON REVIEW U...

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Detecting Pneumonia From X-Ray Images U...

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Disease Identification in Kharif Crop

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Disease identification in Rabi Crop

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MODULE ON ENGLISH TO HINDI NEURAL MACHI...

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HUMAN WITH MASK OR WITHOUT MASK

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LUNG DISEASE CLASSIFICATION AND QUANTIF...

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Blockchain-based data sharing: Opportun...

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DERIVING CROP CALENDER USING NDVI TIMES...

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Extraction of Information from Medicines

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Optimized Implementation of Convolution...

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Separating vocals from music and visual...

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Person Identification In Outdoor Survei...

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FIREARM DETECTION USING DEEP LEARNING T...

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A Decentralized Voting Application Usin...

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Comparative Analysis of Feature Extract...

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Multilingual Toxic Comment Classification

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Tweet Sentiment Extraction

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Music Recommendation Engine

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DengAI: Predicting Disease Spread

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M5 FORECASTING - ACCURACY

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Create a flow chart of events in bullet...

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Social Media News Generation

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House Price :Advanced Regression Techniques

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Epileptic Seizure Detection Using Deep ...

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IDENTIFYING WEEDS USING IMAGE CLASSIFIC...

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Swedish Leaf Dataset Classification

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HUMAN ACTIVITY RECOGNITION

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VIOLENCE RECOGNITION

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Sentimental Analysis Of Memes

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Violent Individuals Identification

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Building a Decentralized Application (D...

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CONVERSION OF RGB TO HYPERSPECTRAL CLEAN

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A Probabilistic Object Detection in Com...

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Offense Evaluation in Memes

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Multi-class Emotion Classification Usin...

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ABSTRACTIVE TEXT SUMMARIZATION

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K-fold and Mean activation values analy...

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Image Inpainting

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Some of our Awesome Testimonials

They did the tremendous work after learning from summer internship at Bennett University

Tentative Titles of the projects are given below
Healthcare
  1. Drug discovery using Neural Networks
    2.
  2. Tumor detection from Brain MRI images
    3.
  3. Detection and Classification of cancer cells in MRI Images
    4.
  4. Organ Segmentation and Labelling in MRI Images
    5.
  5. Cancer cell detection and segmentation
    6.
  6. Blood flow detection and monitoring using Sensory data
    7.
  7. Diabetic Retinopathy Detection and Segmentation from MRI Images
    8.
  8. Personalized Treatment based on Patient History
    9.
  9. AI System for Prediction and Recommendation of Diabetes
    10.
  10. Recommendation of doctors and medicines using review mining
    11.
  11. Disease Prediction using patient treatment history and health data
    12.
  12. Real-time health monitoring using wearable devices
    13.
  13. Prediction of epidemic outbreaks using Social Media Data
    14.
  14. Design and Implementation of prediction for Medical Insurance
  15. Activity monitoring and unusual activity detection for elderly homes
    16.
  16. Recognizing exercises for physiotherapy videos
    17.
  17. Detecting Genes responsible for cancer development
    18.
  18. DNA/Gene classification using RNN Sequential analysis
    19.
  19. Chest X-Ray Classification and Localization of Common Thorax Diseases
    20.
  20. Breast Cancer Detection using Deep-learning
    21.
  21. Estimating cardiac time intervals from analysis of seismocardiogram signal using ML techniques
    22.
  22. Predicting H1N1 and Seasonal Flu Vaccines using Machine Learning Techniques
    23.
  23. DengAI – Disease Spread Prediction
    24.
    Agriculture
  24. Plant disease identification using leaf images
    25.
  25. Plants Recognition using Convolutional Neural Networks
    26.
  26. Fruits counting for automatic inventory management
    27.
  27. Weed plant detection from agricultural field images
    28.
  28. Predicting yield, soil moisture and weather using images processing
    29.
  29. Plant Gene Classification and Functionality Prediction
    30.
  30. Automated quality assessment of crops
    31.
  31. Plant Seedling Identification Using CNN
    32.
    Space Research & Satellite imagery
  32. Change detection for deforestation, water reserves from Satellite images
    33.
  33. Detection of Unmanned Vehicles (UMV) and Drones
    34.
  34. Segmenting Satellite Images for detection of road, buildings, natural resources etc.
    35.
  35. Target recognition in SAR images
    36.
  36. Scene segmentation in rural and urban regions from Remote Sensing Data
    37.
  37. Detection of Anomaly in SAR images
    38.
  38. Classification of Terrain from Satellite Imagery
    39.
  39. 3D reconstruction from multimodal satellite data
    40.
  40. Classification of galaxies
    41.
  41. Simulation of Galaxies for Real World Scenario
    42.
  42. Detection and Segmentation of different structures on planet surface images
    43.
  43. Animal Detection for Visually Impaired in Indian Scenario
    44.
  44. Deep Learning Based Water Feature Mapping Using Sentinel- 2 Satellite Image
    45.
  45. A faster and efficient classification model for edge-devices
    46.
  46. Improving the runt-time performance of the object-detection model through pruning and quantization
    47.
    Cyber Security
  47. Intrusion detection in networks and servers
    48.
  48. Malware identification using deep learning
    49.
  49. Anomaly detection in network activities
    50.
  50. Virus/Malicious file detection in a shared environment
    51.
  51. Spam SMS filtering Using Machine Learning
    52.
  52. Advertisement Click Fraud Detection
    53.
  53. Webpage classification for safer browsing
    54.
  54. Attack Detection in Software Defined Network using RNN
    55.
  55. Classification of IoT Devices by Analysing Network Traffic Characteristics Using Deep Learning Techniques
    56.
  56. Application of Machine Learning for Prevention of Attacks on IoT Devices by using Classification of IoT Traffic Patterns
    57.
  57. Fake News Detection using Temporal Features Extracted via Point Process
    58.
  58. Efficient detection of fake news stances using Deep Learning Techniques
    59.
    Education
  59. Predicting Student Performance using Regression analysis
    60.
  60. Automatic scientific article summarization
    61.
  61. Feature based opinion mining on student feedback
    62.
  62. Face recognition based attendance system
    63.
  63. Robot Learning Locomotion Skill for Imperfect Scenario
    64.
    Video Processing
  64. Real-time generic object detection & tracking
    65.
  65. Pedestrian Detection from low-resolution videos
    66.
  66. Detection and classification of vehicles
    67.
  67. Vehicle detection and speed tracking
    68.
  68. Detection of signals, and lane for self-driving cars
    69.
  69. Road Crack Detection and Segmentation For Autonomous Driving
    70.
  70. Unusual Activity & Anomaly detection in surveillance
    71.
  71. Human activity detection for surveillance video Compression
    72.
  72. Gesture recognition for Human Computer Interaction
    73.
  73. Real-time video to text transcription for visually challenged person
    74.
  74. Real-time speech recognition for regional languages
    75.
  75. Real-time OCR for Regional Languages
    76.
  76. Face Recognition & expression recognition Mobile App for Visually impaired person
    77.
  77. Action recognition for controlling electronic appliances in homes
    78.
  78. Place recognition app for visually impaired person
    79.
  79. Text to video generation for News Stories
    80.
  80. Salient region detection for targeted advertisements placement in videos
    81.
  81. Video quality Enhancement using super-resolution
    82.
    Business
  82. Comparative sales analysis of different stores, customers, demographics
    83.
  83. Customer Classification Based on The Historical Purchase Data
    84.
  84. Personalized marketing and targeted advertising
    85.
  85. Predicting housing prices for real estate companies using Machine Learning or Deep Learning
    86.
  86. Predicting Product Development Time and Cost Using Production Data
    87.
  87. Question answering system for automated customer relationship management
    88.
  88. Sales prediction using Regression Analysis
    89.
  89. Text to Speech Generation for Regional Languages
    90.
    Insurance
  90. Fraud/abuse detection for insurance companies
    91.
  91. Predicting risk for new Insurance using customer information
    92.
    Banking
  92. Credit card fraud detection using historical transaction data
    93.
  93. Loan Risk Prediction using User transaction information
    94.
    Crime
  94. Crime pattern detection using historical crime data
    95.
  95. Geographical crime rate prediction
    96.
  96. Criminal behavior analysis and segmentation
    97.
  97. Crowd counting and monitoring for surveillance videos
    98.
    Social Media Analytics
  98. Product opinion mining for competitive market analysis
    99.
  99. Customer requirement analysis using User Generated Content
    100.
  100. Consumer behavior analysis using User Generated Content
    101.
  101. Rumor detection from Social Media
    102.
  102. Political opinion mining for popularity prediction
    103.
  103. Terrorism detection from social media
    104.
  104. Stock prediction using Twitter sentimental analysis
    105.
  105. Restaurant Review Classification And Recommender System
    106.
  106. Fake news detection in online social media
    107.
  107. Detection violent and abusive content in social media
    108.
  108. Multilingual Toxic Comment Classification
    109.
  109. Tweet Sentiment Extraction - Extracting support phrases for sentiment labels
    110.
  110. Fake news analysis modeling
    111.
    Miscellaneous
  111. Automated Machine Translation for Regional Languages
    112.
  112. Virtual Personal Assistant Apps
    113.
  113. Developing a Chatbot using sequence modelling
    114.
  114. Travel route suggestion based on pattern of travel and difficulties
    115.
  115. A Probabilistic Object Detection in Computer Vision Using Deep Learning Approach
    116.
  116. An Automated Recognition System of Sign Language for Static Signs using Deep Learning
    117.
  117. Path Texture Classification
    118.
  118. M5 – Accuracy
    119.
  119. Human Activity Recognition
    120.
Applications
Below we have given a list of some tentative product ideas, which may be taken up by different Research Groups/institutions under this initiative. Some of these may change and evolve based on further inputs. More will be added in the list as we get feedback from the practitioners.

    Miscellaneous
  1. Detecting incidents of cyber bullying
    2. Input: text feed from social media conversations
    Output: cyber bullying victim and bully identified
  2. Characterizing mental stress and suicidal tendencies
    3. Input: text feed from online profiles and conversations
    Output: people suspected to have stress or suicidal tendencies are flagged
  3. Detecting click-fraud in online advertising
    4. Input: click data from online advertisement
    Output: fraudulent clicks and click patterns detected
  4. Detecting fake news in online news media
    5. Input: news feed from online media
    Output: fake news, rumours, clickbait characterised
  5. Identifying hate crime in online media
    6. Input: text feed from online conversations
    Output: hate speech, offensive comments, racist comments etc. detected
  6. Malware identification
    7. Input: executable files (.exe) of several software/apps
    Output: malicious software/apps identified
  7. Intrusion detection in enterprise networks
    8. Input: network logs from router/switches of enterprise networks
    Output: possible intrusions, botnet activity, DDoS activity, etc. flagged
  8. SMS/IM spam filtering
    9. Input: messages from SMS or IM apps (WhatsApp, Line, etc.)
    Output: spam messages filtered
  9. Detection of malicious URLs
    10. Input: Visited URLs
    Output: malicious URLs (hosting exploit kits, malware, etc.) are detected
  10. Detecting phishing websites
    11. Input: website URL
    Output: phishing websites flagged

    Robotics and Automation
  11. Detecting shapes of common and uncommon objects
    12. Input: different objects
    Output: robot classified the shapes
  12. Determining size of boxes
    13. Input: different size of boxes
    Output: robot determines the size of the box
  13. collision avoidance using video processing
    14. Input: a path for the robot to move on
    Output: robot avoids collision with objects like a wall etc.
  14. Personalized greetings
    15. Input: live video feed
    Output: robot makes personalized greetings (text or speech) to the people
  15. Optimal path traversal
    16. Input: starting point and destination point
    Output: robot calculates and traverses optimal path
  16. Detecting dangerous objects at public places
    17. Input: live video feed
    Output: robot detects dangerous objects (knife, explosives, etc.)
  17. Automating indoor weather adjustments
    18. Input: indoor weather data (temperature, humidity, etc.) and user preferences
    Output: auto-adjustment as per user preferences
  18. Detecting flawed packaging
    19. Input: photo/video of packaged products/consignments
    Output: flawed or broken packaging is detected
  19. Monitoring for thieves and intruders
    20. Input: live video feed
    Output: a given person is thief/intruder or not
  20. Monitoring for safety hazards
    21. Input: video feed of industry area
    Output: safety hazards detected

    Agriculture
  21. Predicting the crop based upon the soil
    22. Input: images of the soil and climate information
    Output: Predicting the suitable crop
  22. Damage assessment of crops because of the bad weather conditions
    23. Input: images of the crop before and after the damage
    Output: Prediction of damage level and crop insurance
  23. Automatic Health inspection
    24. Input: Multiple images of a plant.
    Output: Prediction of health of the plant and possible medicines
  24. Automatic soil testing using AI
    25. Input: Images of the soil
    Output soil health
  25. Weather and crop-based irrigation system.
    26. Input: Weather condition and crop information (crop age, crop type)
    Output: Irrigation is required or not
  26. Assessment of grain of production
    27. Input: crop image of the whole field
    Output: prediction of quantity of grain production
  27. Disease Detection in the plants
    28. Input: image of the plant
    Output: disease and pesticide recommendation
  28. Recommendation of crop based upon the crop history
    29. Input: crop history
    Output: Recommended crop with fertilizer
  29. Chatter bot for farmers
    30. Input: Knowledge base of the crops in the regional language.
    Output: Required information through chat bot
  30. Crop Waste management
    31. Input: Images of the waste
    Output: Companies and their contacts where these wastes are useful.

    Social Media
  31. Suggesting Engaging Content for Social Media
    32. Input: Browsing History and previously watched content
    Output: Customized Content
  32. AI-Powered Image Recognizers from Social Media
    33. Input: Image of the target (Person)
    Output: Identified person
  33. Smart Messenger Bots by understanding the personality
    34. Input: Social Media feed of the person
    Output: Messenger bot reply based upon his personality.
  34. Better career and Job Suggestions
    35. Input: Social Media and LinkedIn feed of the person
    Output: Understanding the skills and job suggestion
  35. Reaching the right audience
    36. Input: Understanding the search history in social media websites
    Output: Better Product suggestions.
  36. Understanding the content on the social media websites and predicting the possible violence
    37. Input: Social Media feed
    Output: Predicting the location and probability of violence and prepare accordingly.
  37. Understanding the personality and probability of joining terrorist groups
    38. Input: Social Media feed and search history
    Output: Predicting a person who might join terrorist group or who is an easy target which can be influenced
  38. Understanding the stress level of students
    39. Input: Social Media feed
    Output: Predicting the stress level of students and based upon stress level give them consultation.
  39. Predicting the fake locations on social Media
    40. Input: Image uploaded by user
    Output: Predicting exact location
  40. Predicting the molesters and eve-teasers
    41. Input: Social Media feed and history
    Output: Predicting the behaviour of a person.

    Healthcare
  41. Physiotherapy exercise monitoring application
    42. Input: Real time video of user doing physiotherapy exercise
    Output: recognized exercise and its counting, detection of wrong exercise positions
  42. Health monitoring application using wearable devices
    43. Input: Heart beat rate, blood pressure, motion data from wearable devices
    Output: statistics of average, alerts of health problems
  43. Skin disease detection app
    44. Input: Photos of skin surface taken in a mobile camera
    Output: Recognized skin disease and its severity
  44. Detecting face features, hair loss, wrinkles, pimples
    45. Input: face photos of users taken from mobile camera
    Output: Detection of hair loss, wrinkles, pimples and their counts etc
  45. Food recognition and calorie, vitamin detection
    46. Input: Food phots taken from mobile camera
    Output: Recognized food and its calorie and vitamins
  46. Finger print based disease detection
    47. Input: Finger print data taken from mobile device
    Output: Detected disease or health status of the user
  47. X-Ray image description app
    48. Input: Photo of X-Ray taken from the mobile app
    Output: Description and results about the X-Ray and detection of disease or health issue
  48. Assistive app for autism, Parkinson, Alzheimer diseases
    49. Input: images/video/audio containing sounds/gestures of the user
    Output: assistance, helps, recommendations to the user
  49. Doctor and medical shop recommendation app
    50. Input: Disease/symptoms and current location of the user, social media, review data
    Output: Recommendation of doctors/hospitals and medical shops, route to the locations
  50. Walking pattern monitoring for arthritis
    51. Input: Real time video of user walking
    Output: Analysis of walking pattern and further recommendation for improvement

    Crowd
  51. Finding people who are lost
    52. Input: Photo of the lost person and crowd images/videos
    Output: Detections of the lost people
  52. Head counting application
    53. Input: Photo or video taken from mobile camera
    Output: Number of human heads in the image i.e. people count
  53. Identifying objectionable persons
    54. Input: Photo or video taken from a mobile or surveillance camera in a highly crowded environment
    Output: Detection of the objectionable person in the crowd images
  54. Weapon detection from crowded environment
    55. Input: Photo or video taken from a mobile or surveillance camera in a highly crowded environment
    Output: Detections of weapons, type and person who carry
  55. Identifying people group in a curfew/ section 144
    56. Input: Photo or video taken from a mobile or surveillance camera in a highly crowded environment
    Output: Detections of group of people and their counting and further alerting
  56. Detecting persons with deviated yoga or dance pattern
    57. Input: Real time video taken from mobile or surveillance camera in a building
    Output: people with different pattern of dance or yoga moves differing from the crowd
  57. Identifying people with unique outfit/getup
    58. Input: Photo or video taken from a mobile in a highly crowded environment
    Output: individuals with unique outfit/makeup/gesture
  58. Unusual activity, loitering detection in Mall
    59. Input: Real time video stream from surveillance camera in Malls
    Output: Individuals who are loitering in the Mall having random and suspicious waling patterns
  59. Detecting smokers in no smoking areas
    60. Input: Real time video stream from surveillance camera
    Output: individuals who violate the no-smoking rule in the public/private places
  60. Counting animals/birds in a farm land or open area
    61. Input: Real time video stream from drone camera or mobile
    Output: number of total animals/birds in a group category wise

    Entertainment
  61. Generating video from photo Gallery of a mobile
    62. Input: Photos of user from the camera
    Output: Video containing the photos presented in an interesting way with animation and music
  62. Hands-free mobile control using frontal camera app
    63. Input: Face gestures fed through the frontal camera of a mobile
    Output: Actions on the mobile such as clicks, swipe, long press etc
  63. Face morphing with Indian cultural face make-ups
    64. Input: Face photo/video taken from the frontal camera of a mobile
    Output: Morphed faces with make-up of Indian regional cultures
  64. Real-time video player for streaming/playing low resolution videos
    65. Input: Low resolution videos of 144p or 180p
    Output: High resolution videos of 720p or 1080p
  65. Fast painting style transfer app to selfies and other photos
    66. Input: Photos taken from frontal or back camera
    Output: Stylised painting like photo based on different painting styles
  66. Singing synchronization app for mixing user voice with music
    67. Input: Audio of song sung by the user
    Output: Mixed song with background music with voice from user audio
  67. Augmented Reality app for animating mobile videos
    68. Input: Videos taken by the users
    Output: Animated videos with animated 3D characters within it
  68. Personalized music recommendation app for mobile
    69. Input: song playlist history, likes and dislikes of the user
    Output: Song recommendations based on user interest, mood and timing
  69. Chatbot for stress buster
    70. Input: User chat comments/questions
    Output: Replies comments that will relieve the stress of the user
  70. Video summarization app for mobile users
    71. Input: Lengthy video from the user
    Output: Short summary video containing interesting segments

    Space Research
  71. Stars recognition using mobile apps
    72. Input: Sky photos taken from mobile camera
    Output: Labelled Stars/star groups on the photos
  72. Environment conditions detection using mobile camera apps
    73. Input: Outdoor photos taken from mobile phones
    Output: Air pollution level, cloud, lighting information detected automatically
  73. Traffic control application using satellite images
    74. Input: Satellite images of roads
    Output: Traffic congestion detection results and recommendations
  74. Detecting popularity of a business venue using satellite images of parking lot
    75. Input: Satellite images of parking lots
    Output: popularity level of that business venue
  75. Satellite farming using remote sensing images/ drone images
    76. Input: Satellite images or drone images of farm lands
    Output: Monitoring, inventory estimation, yield prediction, strategies & plans for farming
  76. Automated drone navigation system
    77. Input: Real time video feed from the drone camera
    Output: Navigation actions and real time physical motion to the target locations
  77. UMV or Drone detection system for border security
    78. Input: Real time video feed from HQ surveillance cameras
    Output: detections of UMV or drones and their locations
  78. Location recognition apps from Airplanes
    79. Input: Photos of land taken from airplanes
    Output: Recognized places and their information
  79. Drone based security system
    80. Input: Real time video stream from drone cameras
    Output: Detected objects, people, animals, activities, accidents, intruders etc.
  80. 3D reconstruction of a building or land using Drone cameras
    81. Input: Aerial video taken from drone camera
    Output: 3D model of the location/buildings

    Business
  81. Chatbot development for regional languages
    82. Input: Chat commands written in regional languages
    Output: Automated responses in regional language
  82. Robust face recognition system for loan/insurance fraud prediction
    83. Input: Face photos and related information of a loan applicant
    Output: Detection whether specific applicant has committed loan/insurance fraud
  83. Question answering system for automated customer relationship management
    84. Input: Questions from customers spoken/written in regional languages
    Output: Answers (spoken/written) from the automated system in regional language
  84. Face emotion detection for customer relationship management
    85. Input: Real-time video of customer in a services/customer care place
    Output: Detections of user emotion such as stress, happy for guidance to the service provide or customer care responder
  85. Salient region detection for targeted advertisements placement
    86. Input: Image or streaming video of sports/movie etc.
    Output: Location inside video frame where ad will be posted
  86. Customer emotion detection for telephony customer care
    87. Input: Real-time audio of the customer care call
    Output: Detections of user emotion such as stress, happy for guidance to the customer care responder
  87. Product requirement analysis from social media
    88. Input: comments, reviews from users of particular topic or need
    Output: Detections of whether particular feature or product is currently needed for the customers
  88. Scheduling and planning apps for sales person
    89. Input: Schedule, target, location of the sales person
    Output: Reminders, route recommendations, plans for sales execution
  89. Mobile app for quick prediction of production time and cost
    90. Input: Requested number of quantity and specification of a product
    Output: Production time and cost to make the specific number of products
  90. Work monitoring system for surveillance videos in production environment
    91. Input: Real time video feed from surveillance cameras in a product production environment
    Output: Detection of events, accidents, people activities, loitering etc

    Journalism
  91. News article summarization app
    92. Input: News article in text format
    Output: Summary of news as a short text
  92. News text to video generation app
    93. Input: News article with text and images
    Output: Interestingly presented video with news elements, animations and attractive audio
  93. Fake news alert app
    94. Input: News article with text and images
    Output: Detection results whether article is fake or from trustable source
  94. Provocative article detection for safe surfing
    95. Input: News article with text and images
    Output: Detection results whether article contain controversial/violent content against religious views/national integrity that will induce violence or riot
  95. Finding famous and relevant Tweets of news articles
    96. Input: News article with text and images
    Output: Neatly presented famous tweets from celebrities/active twitter users on specific issues that news article deals with
  96. Personalized News Recommendation App
    97. Input: News articles, previous history of user, ratings etc
    Output: News articles matching interest and history of the user
  97. Multisource news summarization for summarizing news on same topic
    98. Input: Multiple news articles dealing with same news
    Output: Summary of news content as a short text
  98. User emotion detection for news article impact analysis
    99. Input: News article, face images of the user while reading news, history of articles read by user
    Output: Prediction of emotions of a user for different articles
  99. News popularity detection in social media
    100. Input: News article and its relevant social media feed
    Output: Popularity level of a news story
  100. News generation from tweets of certain topic
    101. Input: Twitter feed related to certain event or topic
    Output: Generated news story related to the famous tweets

    Civil Engineering
  101. Prediction of Mix design parameters and compressive strength of Concrete Structures
    102. Input: Different materials and their specifications
    Output: Mix design parameters and their respective Compressive Strength
  102. Real time Monitoring of Corrosion in Reinforced Concrete structure
    103. Input: Images of Corrosion
    Output: Predicting the Corrosion
  103. Crack Detection in Reinforced Concrete structure
    104. Input: Different type of Crack Images
    Output: Predicting the type of crack
  104. Remaining life assessment of structures
    105. Input: Different durability assessment data
    Output: Predicting of remaining life
  105. Estimation of Fixity Factors at Connections in Steel Frame Structures
    106. Input: Strain time history data
    Output: Predicting the fixity factors at connection
Research groups
Research groups working will encompass the following points:
  1. Training Workshops on Deep Learning and Machine Learning
  2. National Conferences to engage wider community
  3. Project competitions in the areas of AI and Machine Learning
  4. Symposiums and Visits of Eminent People in AI
  5. These Research group will apply for additional funding from different schemes and also explore the possibilities of private funding, Industry support
  6. Depending upon the deliverables; groups may be partially supported by respective institutions
  7. High quality and indexed Journals and Conference publications
  8. Phd and MTech Student Co-advising
  9. Research Sabbaticals for members of Research Group
  10. Research oriented student projects will become feasible for Senior Years in UG
  11. Industry-oriented capstone or senior-design projects may be taken up
  12. Industry Visits and orientation will be felicitated
  13. Industry will work on few applications of mutual interest with these research groups
  14. It will help in defining some recent and critical research problems for the research groups
  15. Research groups will be exposed to different institutions for collaborative work
  16. Research groups will be able interact with the UK partner
  17. Depending upon their specific research problems they will get access to a wider network of labs and researchers through Bennett University

Domain Areas in which the research groups will be working
Healthcare
  1. Drug Management & Safety
  2. Tumor Analysis
  3. Cancer Care
  4. Medical Image Analysis
  5. Medical Insurance
  6. Personalized Treatment
  7. Health Monitoring
  8. Disease Forecasting
  9. Eye Disease Management
  10. Epidemic Outbreaks Monitoring
  11. Elderly Care
  12. Transcultural Care
  13. Physiotherapy
  14. Telemedicine
  15. DNA, Gene Analysis
  16. Computational Biology

    17. Agriculture
  17. Plant Health Monitoring
  18. Storage and Inventory Management
  19. Plantation Monitoring
  20. Pest Management
  21. Water and Soil Conservation
  22. Faster Plantation and Cropping
  23. Satellite Farming
  24. Monitoring using Remote Sensing

    25. Space Research
  25. Guidance, navigation, and control
  26. Security Intelligence
  27. Climate Risk Management
  28. Environment Change Monitoring
  29. Remote Sensing
  30. Processing Multimodal Sensor Data
  31. Telescopic Image Processing (Astronomy)
  32. Planetology
  33. Map Annotation & Management

    34. Cyber Security
  34. Network Intrusion Prevention
  35. Anti-Malware Management
  36. Online Scam Prevention
  37. Network Activity Monitoring
  38. Data Security and Privacy Protection

    39. Education
  39. Student performance monitoring
  40. Smarter Evaluation
  41. Teaching and Pedagogy
  42. Predicting student performance
  43. Smart Interactive teaching and Learning
  44. Lecture Video Analysis

    45. Video Processing
  45. Video Content Analysis & Retrieval
  46. Autonomous Driving
  47. Surveillance Security & Monitoring
  48. Compressed Sensing
  49. Quality Control using Machine Vision
  50. Assistive Technology for Visually Impaired Citizens
  51. Real-time Transcription
  52. Human Computer Interaction
  53. Video Generation
  54. Home automation
  55. Video Summarization
  56. Smart Traffic Management
  57. Driving Assistance

    58. Audio and Natural Language Processing
  58. Audio and Natural Language Processing
  59. Speech recognition for Regional Languages
  60. Translation for Regional Languages
  61. Text Summarization
  62. Personalized Information Retrieval
  63. Text Content Annotation and Retrieval for regional Languages
  64. Search Engine for Regional Languages

    65. Business
  65. Sales Monitoring
  66. Market basket analysis
  67. User Behavior Analysis
  68. Competitive Sales & Marketing
  69. Customer Relationship Management
  70. Customer Segmentation
  71. Product Development
  72. Digital Marketing
  73. Customer Support Automation
  74. Product Recommendation
  75. Ad Targeting
  76. Financial Market Analysis

    77. Insurance
  77. Fraud Detection
  78. Insurance Risk Analysis

    79. Banking
  79. Decision Support
  80. Fraud Detection
  81. Loan Risk Analysis
  82. Customer Segmentation

    83. Crime
  83. Crime Pattern Analysis
  84. Crime Monitoring & Prediction
  85. Criminal Behavior Analysis and Segmentation

    86. Social Media Analytics
  86. Opinion Mining
  87. Market Requirement Analysis
  88. Fake News & Rumor Monitoring Control
  89. Political opinion mining for popularity prediction
  90. User Privacy & Security Management
  91. Personal Content Management

    92. Entertainment
  92. Face Detection and Applications
  93. Real-time Mobile Augmented Reality
  94. 3D Reconstruction
  95. Automated Multimedia Generation
  96. Multimedia Quality Management
  97. Multimedia Compression
  98. Affective Computing
  99. Automated Game Playing
  100. Text to Speech Generation for Regional Languages

    101. Miscellaneous
  101. Brain-Computer Interface
  102. Network Simulation

Review Parameters For Research Group Progress

Outcomes and Progress will be measured using following parameters

Working of the Group

Adhering to timeline as per the guidelines, proactive response to emails from the mentors and providing required information, Creating a broader eco-system to synergize this initiative with other institutional activities, Number of regular/consistency in meetings or interactions happened both within and outside the research group

Skilling

Training students, research Scholars and teachers who may help them to do project/research, Certifications in DLI, cloud, Azure,Data Science, Machine Learning, AI Courses.

Research

Papers published in top conferences and journals (Only Scopus and SCI Journals will be considered), Grant written/submitted relevant to group research (International,National and State Funding Agencies).

Development

Development of new student projects, Contribution to the research community in terms of sharing archive of resources/datasets, code contribution: Progress in programming publicly available code in Github, Making new mobile apps or products useful to the society, innovations and startups.

Outreach

Creating meaningful image and perception to the outside world by regular, impactful coverage in social/print media, organizing competitions, international/industrial experts related to AI visiting your institution, Creating your perception as a quality AI group, Industrial and International Collaborations: Level of interaction/collaboration with industry/Academia.