Projects

Student-performance evaluation that placed 100th in the BTK Academy Datathon, built with ML/DL models and comprehensive exploratory data analysis.

House-price prediction on Indian housing data reaching an R² of 0.93–0.94, comparing machine learning and deep learning models with exploratory data analysis.

Predicting obesity level from behavioral and physical features with ML/DL models, comprehensive exploratory data analysis, and feature engineering.

Predicting Titanic passenger survival with ML/DL models, exploratory data analysis, and data visualization on the classic dataset.

Multi-store sales trend analysis and time-series forecasting, in an ML/DL workflow built around exploratory data analysis and visualization.

A C++ cleaning-robot simulation that reads obstacle data from map files and optimizes its route with BFS/DFS-based path planning.

A bus reservation and customer management system built with Java and SQL, with full CRUD operations and multi-route schedule management.

A disaster-relief system written in C that manages victim records with linked lists and a priority queue, using binary search for fast lookups.

A C simulation game where you keep a virtual pet healthy and happy, built on a state machine with save and load through file I/O.

Car-price prediction on Turkish used-car data, comparing linear regression, random forest, XGBoost, and neural networks with comprehensive EDA.

Predicting academic performance from behavioral data with ML/DL, comparing 8+ algorithms with exploratory data analysis and visualization.

Calendar-based weight and calorie tracking with a FastAPI backend, React PWA, Expo mobile app and Docker, plus Gemini AI food recognition.

Real-time speech-to-text with Whisper and emotion recognition from audio, streamed over Flask and WebSocket with live microphone capture.

Sub-projects implementing Q-Learning, Deep Q-Learning, and Convolutional Q-Learning from scratch with PyTorch and OpenAI Gym.