• Dharmaraj Rathod
• Aditi Tatkare
• Anushka Patil
• Ved Patil
• Dilip Kale

Our project aims to solve the problem of food wastage that has become a major concern in recent years. With the growing population and limited resources, it's important to reduce food wastage. We have developed an application that helps people keep track of their food items and their expiry dates. The application uses image processing to identify the food item and estimate its ripening stage and expiry date. We have implemented AI and deep learning techniques like CNNs to detect the type of fruit and check for any defects in it. The application sends reminders to the user to consume the food item before it goes stale. This not only helps reduce food wastage but also saves money for the user. Our project has the potential to make a significant impact in the fight against food wastage. With the increasing use of smartphones, our application can be easily accessible to a large number of people. By reducing food wastage, we can make a significant contribution to the environment and to society. The implementation of our project can potentially change the way we consume food and reduce the negative impact on the environment. The use of technology to solve social and environmental problems is a growing trend, and our project is a small contribution to this movement. The development of this application required extensive research and implementation of various algorithms, making it a challenging and rewarding experience. Overall, we hope our project inspires more innovative solutions to tackle the problem of food wastage and contribute to a more sustainable future.

AI, CNN, Food Wastage

"A modern approach to track food shelf life using CNN and NLP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.p588-p592, April-2024, Available :http://www.jetir.org/papers/JETIR2404G77.pdf

"A modern approach to track food shelf life using CNN and NLP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppp588-p592, April-2024, Available at : http://www.jetir.org/papers/JETIR2404G77.pdf