AI and ML Driven Insights for Hawker Center Stall Vendors to cut down on food waste and save money!!

1. 755,000 TONS of food was wasted in Singapore alone
2. Less than 20% was recycled
3. Hawker Vendors, our uncles and aunties face rising costs of living too, any means of saving money would come in handy

OUR SOLUTION!! We used

• NFC and RFID Tagging To track plates coming from which stall numbers (Halal/Non Halal)
• GPT4o for estimating how much food wasted compared to portion given
• Used SupaBase for cloud database to store insights
• Cron Job Machine Learning Pipeline using PyCaret
• Streamlit Web App to allow vendors use the ML model trained to predict how much food to make on what day to reduce wastage

Tech Stack

• GPT4o API: Image Analysis
• Pycaret Machine Learning ML Pipeline
• Internet Of Things Electronics and ESP32s