glasses try-on system by finding the best shape of glasses based for your face shape using K-means and CNN algorithms

Angular directives for face detection and face recognition in the browser.

拍照识别食物中的卡路里含量

Hand Gesture Recognition and object Recognition using your android phone camera

Vue component that ask for user media stream and blurs or mask persons backgrounds with artificial intelligence using tensorflowjs and the body-pix api

LFNet: Local Rotation Invariant Coordinate Frame for Robust Point Cloud Analysis

Predicting Apple Stock Price, we will build an LSTM Model to forecast Apple Stock Prices, using Tensorflow

Prevents sleep deprivation road accidents, by alerting drowsy drivers.

Beat CAPTCHA using OpenCV and TensorFlow

Navigate using hand gestures

VisionAI is a cutting-edge web application that combines facial recognition, emotion detection, and voice interaction to create an immersive AI assistant experience. Built with the MERN stack and featuring a stunning futuristic UI inspired by sci-fi interfaces.

NVDA Price Stock Prediction ( Keras / Tensorflow / Matplatlib / Python )

Signature verification : signature matching with minimal training images per class. Seamese network learns to compare signature pairs and determine whether they belong to the same individual. A K-Nearest Neighbors (KNN) classifier is used to enhance signature classification accuracy

This is the keynotes and demo notebook for GDG Festival 2017 Beijing Lightning Talk

Text to emotions using RNN, FastAPI, simple and fun 🔥

This project implements a Convolutional Neural Network (CNN) to classify images of German traffic signs . The model can help interpret traffic signs for autonomous driving systems.

IMC con tensorflow JS

Interactive Python app to explore historical housing prices and forecast the next 6 months for U.S. states and counties using Zillow ZHVI data. Built with Streamlit and TensorFlow, the app allows users to select a state and county, visualize past trends, and see cleanly formatted future predictions.

This repo demonstrates how different pooling layers (max, average) affect feature map size, information retention, and model performance in CNNs.

AI projects and some algorithms. If you are seeing this please take care of the path in the code