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🎨 Transform photos into stunning cartoon artwork using OpenCV! Features advanced edge detection, color quantization & bilateral filtering. Includes Gradio web interface for easy use, Jupyter notebooks for exploration, and modular Python architecture. Perfect for learning computer vision concepts.
🏥 AI-powered breast cancer classification using Logistic Regression with 95% accuracy. Features interactive Gradio web interface for real-time predictions on 30 diagnostic parameters from Wisconsin dataset. Includes comprehensive Jupyter notebooks for model training, evaluation metrics, and deployment-ready architecture for healthcare application.
This project predicts used car prices using a feedforward neural network regression model implemented in PyTorch. Features include car age, mileage, and other attributes. The pipeline supports feature normalization, train/validation/test splitting, and visualization of training and validation loss curves.
Semantic book recommendation system leveraging vector embeddings (sentence-transformers), approximate nearest neighbor search (FAISS), and generative AI (Google Gemini/Vertex AI) for personalized analysis and content generation, wrapped in an interactive Gradio web UI.
🎮 AI-powered gaming strategy coach with dynamic prompts, multi-game support & Gradio UI. Built with GROQ LLM API. Deploy on Hugging Face Spaces. Python chatbot
This project classifies SMS messages as spam or ham using a feedforward neural network in PyTorch with a bag-of-words representation. It includes train/validation/test splits, performance evaluation (accuracy, sensitivity, specificity, precision), and saving the trained model and vectorizer for reuse in inference.
Prototype Mistral OCR pipeline. Upload your French PDF and download in English. Have it look the same. A dead simple solution for the travelling elderly and small businesses working in another language — anyone not tech savvy. Future port to Next.js.
Backend GPU para o Anime Upscalerr. Rode no Google Colab gratuitamente. / GPU Backend for Anime Upscalerr. Run on Google Colab for free. *LEMBRANDO!! ESTE PROJETO É INDIVIDUAL, HÁ BUGS, E ESTOU CIENTE E TRABALHANDO NELES.*
This project develops a semantic book recommender system leveraging the power of Large Language Models (LLMs). It allows users to input a book description and receive recommendations for similar books, classified by categories and emotional tones.
Analiza automáticamente el feedback de usuarios, reseñas o comentarios. Detecta idioma, clasifica el sentimiento, genera un resumen, identifica problemas comunes y sugiere recomendaciones para mejorar productos o servicios. Multilingüe y fácil de usar.
Tire condition classification using ResNet and transfer learning. This project applies deep learning to identify whether a tire is in good or bad condition based on image data.
Classifies brain tumors from MRI scans (Glioma, Meningioma, Pituitary) using a fine-tuned ResNet50 model, featuring Grad-CAM heatmaps for explainable AI predictions.