This repository contains program for face recognition using transfer learning.

Face Recognition system trained for 81 people. Accuracy is around 70% achieved.

Deep_learning specialization course by andrew NG from Coursera

Design of a Face recognition payment system prototype

Create your own databse, compile tripletloss with pre-trained FaceNet model, run real-time face recognition on local host

SSS-Vision is a web-based Flask powered Python ML to help new WAVs identify tripleS members and sub-units!

Face recognition using Facenet Model

Face recognition system using FaceNet and OpenCV.

Face Detection using Open CV library on House Full 4 movie trailer.

This repository contains the colab notebooks that I worked on while developing the Optimized Facial Feature Classification Project

Flask based web application to manage attendance using face recognition

My graduation thesis project, awarded a 9.5/10, involved creating a student attendance management system for iOS devices that utilizes FaceNet facial recognition model for efficient and secure attendance tracking.

About a mobile app created to recognize crime committing citizens from the database and predict using FaceNet prediction algorithm from phone. Admins can create new entries of criminals or notorious people on phone. This will create a safer environment for everyone going to office or airport etc.

Face detection, and recognition using MTCNN,FACENET, HAAR CASCADES and CAFFE MODELS

WYNA is a tiny bot asking your name and remembers your face and your name on next encounter

Build a face recognition model using faceNet algorithm

Education/Institutional level Project about getting attendance done by face recognition (FaceNet Model) and added functionalities like Getting pdf or excel sheet of Attendance

This repository hosts a cutting-edge facial recognition system designed to enhance customer identification and verification. Leveraging MTCNN for accurate face detection and DeepFace-FaceNet for facial embeddings, the system integrates with Pinecone's vector database to efficiently match and verify repeat customers.

This Flutter project implements face authentication using the FaceNet512 model, storing face data (as Float32 arrays) and names in Firebase Firestore. It allows users to capture and store their face data for subsequent identification, predicting identities based on cosine similarity.