🥛 DairyGuard – Smart Milk Freshness Detection System DairyGuard is an innovative AI + IoT-based system designed to detect milk freshness and predict spoilage time using optical sensors and machine learning.This project addresses real-world challenges in the dairy industry by enabling smarter quality control and reducing milk wastage.
🚀 Features 🔍 Freshness Classification: Distinguishes between fresh and spoiled milk using optical properties.
📈 Spoilage Prediction: Estimates how long the milk will remain fresh.
🧠 ML-Powered Analysis: Uses machine learning algorithms trained on optical data for accurate detection.
🌐 IoT Integration: Real-time data collection via sensors and microcontrollers.
🛠️ Tech Stack Hardware:
Optical Sensor
NodeMCU ESP8266
Software:
Python (Machine Learning)
Streamlit(for frontend dashboard)
ML Frameworks:
Scikit-learn /
Pandas for analysis
🧪 How It Works Data Collection: Optical sensors measure specific light wavelengths reflected from the milk sample.
Data Processing: The data is sent via the IoT module to a backend server.
ML Inference: The machine learning model classifies milk as fresh or spoiled and predicts remaining shelf life.
Output: Results are displayed on the frontend dashboard.