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Utkarsh Mishra's Projects

antitheft_surviellance_system icon antitheft_surviellance_system

In order to eradicate the humman error in surveillance of multiple cameras. We have trained AI model to detect any person in the video recording and alert thw owner in real time. Model has been trained for 2.5 months on 1080Ti hardware. It delevers 99.987% accuracy.

bhim-1 icon bhim-1

🎙 Voice Payments Module for BHIM UPI App

blockchain_flutter-_app icon blockchain_flutter-_app

This is an app which integrates your any crypto Wallet and connect you to any RPC server. Deploy your own hyper ledgers and smart contracts directly gets reflected.

e-eye icon e-eye

This project offers web services on Computer Vision

face_recognition_attandance icon face_recognition_attandance

Students apply proxies of each other which makes indeciplane in Collage. Our AI model has been trained for 3 months and now it takes only 5 photos and apply transfer learning which makes our model fast in training i.e 1 min. for training 20 diffrent students. Accuracy of our model is 98.76%.

fingers-counter icon fingers-counter

This project focuses on predicting the number of fingers of hand shown to camera using Open CV.

flask_database_integration icon flask_database_integration

This was developed for practise contains integration codes for batabases such as MongoDB, Firebase and many more important codes

gatsby icon gatsby

Build blazing fast, modern apps and websites with React

golf-trail icon golf-trail

This project focuses on predicting the final golf ball location after the ball is hit by the golfer with only one camera using Machine Learning Algorithms and Open CV.

heatmaps-for-website icon heatmaps-for-website

This repo contains the code for generation of HeatMaps of mouse hover and clicks using DOM Manipulation and JS functions.

party-invite-using-gan icon party-invite-using-gan

Uninvited guests are a major issue for all party organisers. We have built an AI system which when shown single image of a person auguments the data in every single way using GAN and then apply genetic optimizer to reject the non fruitfull images. Model has been trained for 6 months and gives 99.989 % accuracy.

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