Smart Shelf - Life Predicition System for Packaged Foods

The Smart Shelf-Life Prediction System for Packaged Foods is an Internet of Things system that watches storage conditions and calculates how much time a packaged food product still has before it goes bad. The Smart Shelf-Life Prediction System uses an ESP32 microcontroller to gather temperature and humidity readings from a DHT22 sensor in time. Those readings are sent to a database where they are stored and examined. Using the data about how the food's stored the Smart Shelf-Life Prediction System figures out how long the food will last and spots any changes that could lower food quality. Every food package gets its QR code so that a user can scan it with a mobile phone and see the food’s details when it was made, its original expiry date, the current temperature and humidity the storage history and the estimated remaining shelf life. If the storage conditions turn bad or if the Smart Shelf-Life Prediction System thinks the food is, near the end of its life the system can send alerts to the user. The Smart Shelf-Life Prediction System brings together sensor hardware, on‑board processing, wireless links and cloud monitoring to make food storage easier to manage. To confirm that the Smart Shelf-Life Prediction System works well experiments must be done to check how accurate the sensors are, how precise the shelf‑life calculations are and how reliable the alerts are. The Smart Shelf-Life Prediction System wants to cut food waste keep food safe and help people keep track of packaged food products efficiently.