mood-prediction

MoodLint is a Visual Studio Code extension for Mood based debugging that helps by integrating real-time mood detection with future mood prediction and generation of how you would look in predicted mood

Built a hybrid model to predict song moods and implemented a mood-based recommendation system.

Analyzing how weather, traffic, and pandemic mobility impacted public mood in Istanbul (2020-2022).

Data science project for mood prediction from nutrition data using cleaning, exploratory analysis, CatBoost multi-class classification, cross-validation, LaTeX reporting, and visualizations.

VU Data Mining Techniques course. Advanced assignment 1: Mood prediction from sensory data.

Audio analysis project for AI4ALL Ignite Program (Fall 2024)

Predicts next-day mood (low/medium/high) from smartphone sensor logs: app usage, calls, screen time, activity. Pipeline in src/ covers daily aggregation, cleaning/imputation, windowed feature engineering, and Random Forest vs. LSTM classification benchmarked against baselines.