Project for real-time anomaly detection using Kafka and python
This is End to end project for potato disease detection using deep learning. I build cnn model to predict potato 3 classes early-blight, late-blight and healthy.
Features injected recurrent neural networks for short-term traffic speed prediction
Análise exploratória (em inglês) do dataset Heart Disease UCI. Foram analisados fatores que podem estar associados a doenças cardíacas e foi criado um modelo para classificar a presença de doenças cardíacas em novos pacientes.
SwiftLearning is iOS side of scikit-learning
This project builds multiple ML classification models to predict visa approval outcomes using the EasyVisa dataset. The repository includes the full notebook, documentation, and results.
🤖 AI-powered smart lighting system with 85-96% occupancy prediction, 30-50% energy savings, weather integration, and real-time optimization. Built with React, Flask, and Machine Learning.
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