👨🎓 I’m a passionate student in Data Engineering & AI.
| Platform | Link |
|---|---|
| Matteo Chianale | |
| [email protected] |
- Real Estate Loan Application Service (France) - App for evaluating real estate loans in France, built with
Spyne,Flask,MongoDB, and afront-endfor full-stack functionality. - Learning Pro Web App — A learning platform inspired by Anki, with social features, developed using
Node.jsandReact. - FitLifePro — A fitness app featuring a scheduling system , developed using
Node.jsandReact.
- French Law RAG — Implements a similarity search system for legal documents, definitions etc... (167000 data), using embeddings, cosine similarity, and clustering (KMeans), project not finish.
- Fine-Tuning Camembert for Real Estate Loan Entity Extraction (France) — Generates artificial data and fine-tunes a
Camembertmodel to extract key entities in real estate loan applications. - Tweet Sentiment Analysis — Sentiment analysis on Twitter data using
NLPtechniques.
- Plastic Garbage Detection — A
YOLOv5-based model for detecting plastic waste in oceans, with evaluation metrics like IoU.
- Artificial Bee Colony Algorithm — Implementation of the artificial bee colony optimization algorithm.
- Cookie Placement Optimization — Uses a Artificial Bee Colony Algorithm to tackle a real-world optimization problem.
- Eight Puzzle Solver — Solves the classic eight-puzzle problem with tree-based optimization approaches.
- Seoul Bikes Demand Prediction — Predicts daily and hourly bike rentals using regression models and a
Flask API. - Customer Churn Prediction — Predicts customer churn based on usage patterns and demographics for telecom services.
- Breast Cancer Prediction — Machine learning model for breast cancer diagnosis using
scikit-learn. - Iris Clustering Analysis — Comparative analysis of clustering techniques on the Iris dataset.
- Blockchain Voting System — Implementation of a voting system on the blockchain using
C, focusing on security and transparency.