The Fruits Spoil Checker project leverages machine learning and computer vision to detect spoilage in fruits based on their visual appearance. Spoilage can be identified through features like color, texture, and patterns indicating mold or decay. By training a model on a labeled dataset of fresh and spoiled fruit images, the system can classify fruits into these categories. This project has significant potential in reducing food wastage, ensuring quality control, and aiding supply chain efficiency in agricultural and retail sectors.
Basic Knowledge of Programming Languages like Python, R, TensorFlow etc.
Before Commencing the project the following links have to be examined.
https://www.coursera.org/
https://towardsai.net/
https://www.tensorflow.org/
https://github.com/
