500 AI Machine learning Deep learning Computer vision NLP Projects with code
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Updated
Aug 1, 2025
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Image Processing and Deep Learning algorithm to detect leopards from a live camera feed.
🤖 Explore 500 AI, machine learning, deep learning, computer vision, and NLP projects with complete code to enhance your skills and projects.
Screen Recorder Project with OpenCV and C++ on Ubuntu
Apple Tree Diseases Predication using Image Classification
🧠 Explore deep learning through hands-on projects, implementing neural networks like CNNs, RNNs, and Transformers using Python and TensorFlow.
Using YOLOv8s and YOLOv5s network. Model optimization: based on YOLOv8s, the original detection Head is replaced by Dynamic Head, and the FasterNet lightweight module is introduced. Finished ablation experiments.
ADAS system for Indian road scenarios using YOLOv8-Seg for road segmentation, object detection, and instance segmentation, trained on diverse real-world datasets with superpixel refinement and real-time inference capabilities.
skin disease classification using YOLOv8
Real-time autonomous driving perception system: detection, tracking, segmentation, and TensorRT C++ deployment
Multi-architecture neural network comparison (FFNN, LSTM-RNN, CNN) for surface fracture detection on ~228k grayscale images
AI-powered Diabetic Retinopathy detection using ResNet-50, FastAPI, React, Docker and PyTorch. Full stack clinical screening system with Bayesian decision theory and TTA ensemble.
OMR Sheet Evaluation system using Python and OpenCV. Automatically detects answer bubbles, evaluates marked responses, calculates scores, and visualizes grading results. Built with Computer Vision techniques including contour detection, thresholding, morphology, and pixel-density analysis for automated exam assessment.
CNN-based vehicle number plate detection and recognition system using TensorFlow, OpenCV, and Flask API for real-time image inference and automated license plate identification
🌿 Projet de Computer Vision basé sur un dataset de feuilles malades : analyse exploratoire, data augmentation, transformations d’images et classification CNN. Pipeline complet en Python, tests, visualisations, reproductibilité et modèle >90% accuracy.
Android lane detection application using OpenCV and computer vision techniques.
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