A Face Recognition Attendance System based on facial recognition built using Dlib library, OpenCV and Flask.

Serverless removal of images backgrounds with OpenCV, using an AWS Lambda.

Face-Login project. This Project is based on facenet deep learning model, When a user wants to Signup it will click the photo of the user by the webcam, on which the model is trained. The user has to enter a unique username and email address on the page and the encodings of the image captured are mapped onto the username and stored in the databa…

Team InfySOARS Presents Project Covid

Steganography through Flask App - CNS Project

A web-app to detect humans in a picture, video, or using webcam.

Detect diabetes using retina images

A web application powered by machine learning models that predict the yoga asana performed by users. Designed to enhance the daily practice of yoga enthusiasts, this application offers real-time feedback on posture, enabling practitioners to refine their technique, elevate their practice, and mitigate the risk of injuries.

A flask restful API to detect objects in an image.

This is a website made for college canteen to make payments for bought items/products through their college ID card.

Attendance system using face recognition built using python open-CV and flask

Discover the GPT-4o multimodal model at Microsoft Build 2024, now with text and image capabilities. My prototype enhances chats with real-time camera snapshots, powered by Flask, OpenCV, and Azure’s OpenAI Services. It’s interactive, visual, and simple to use. Give it a try!

Real time Object detection giving all object detected : labels along with all bounding box predictions + Flask live hosted server

Closed-loop feedback optogenetic system

Converts the given image(.jpg, .jpeg, .png) in its similar text image.

Final project

Real time weapons detection from images, video or live feeds.

Serverless Object Detection using OpenCV on AWS Lambda. Compare AWS Rekognition, OpenCV DNN, and OpenCV Haar Cascades image results directly.

Interactive web application for demonstrating digital image processing techniques