A realtime automatic attendance system which identifies the face of multiple person and marks the attendance. It uses ML-Kit for face detection and Tensorflow Lite model to recognize the faces.
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Updated
Dec 25, 2022 - Java
A realtime automatic attendance system which identifies the face of multiple person and marks the attendance. It uses ML-Kit for face detection and Tensorflow Lite model to recognize the faces.
Skin Disease Detection system using Flutter and Tenser-flow lite.
An AI-powered vision system designed to enhance passenger experience and optimize operational efficiency at the YVR airport by utilizing machine learning to track passenger volumes and identify maintenance needs in real-time using security cameras.
This repo contains a smaller .tflite model for diease detection.
Skin Cancer Dedector
EMG-controlled prosthetic arm project using machine learning, TensorFlow Lite, and ESP32. Includes model training, evaluation, embedded deployment workflow, and ongoing development of real-time gesture-controlled prosthetic actuation.
Uzhavan-AI is a deep learning-powered web application that detects paddy leaf diseases from images using TensorFlow, Flask, and computer vision, helping farmers identify crop diseases quickly and accurately.
Tawakkalna Health bar and Mask detection gate system Tensorflow / Open-CV
End-to-end real-time waste detection system for mobile devices using a custom dataset and YOLOv8n
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