my projects.
Food Demand Forecasting
Time-series model to forecast food demand with high accuracy. Implemented MLOps pipeline to enhance efficiency. Improved prediction accuracy, optimizing inventory management and reducing food wastage.
DVC
Flask
Kafka
MLFlow
Scikit-Learn
Calpred
Calorie prediction framework to estimate caloric expenditure from workout data. Features real-time tracking, interactive visualization, and data-driven fitness insights.
Dash
Flask
NumPy
Pandas
Plotly
SQLite3
TPOT
XGBoost
CozyReader
AI-powered bedtime storyteller that crafts personalized stories based on child preferences. Features custom characters, themes, and locally hosted text-to-speech voices.
CouchDB
Google Generative AI API
HuggingFace TTS
Python
Streamlit

