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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68353
Volume:
10 |
10 |
Oct 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Electronics and Communication Engineering
K Ramakrishnan College of Technology

Electronics and Communication Engineering
K Ramakrishnan College of Technology

Electronics and Communication Engineering
K Ramakrishnan College of Technology

Electronics and Communication Engineering
K Ramakrishnan College of Technology

Electronics and Communication Engineering
K Ramakrishnan College of Technology
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.
KEYWORDS
The smart shelf-life prediction system for packaged foods is designed to make it easier to keep track of how long food stays fresh. It does this by using sensors that measure the temperature and humidity around the food. An ESP32 microcontroller takes the data from these sensors. Sends it over Wi-Fi to a cloud platform where it can be monitored. The system uses the information about the food. How it is stored to figure out how much time is left before the food might go bad. Users can scan a QR code to see details about the product and the estimated shelf life. The system can also send a warning if the shelf life is about to end or if the storage conditions are not good. This way people can manage their food better. Avoid throwing away food that is still safe to eat.. The system needs to be accurate and work well. That depends on how the sensors are set up the details about each type of food and the model used for predictions. More tests with food, in different storage situations are needed to check if the system works as it should.
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Publication Date
10/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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