• Prathmesh Godse
• Pravin Lohare
• Rohan Kanwar
• Chandan Kesarwani
• Prof. Deepali Patil

One of the emergent concerns of human life is about health and wellness. Undeniably, health and nutrition are one of the valuable aspects of life. Thus, technological innovations to help enhance and even promote health awareness is essential. With the advent of mobile computing, it is much easier to be aware of health information because of its mobility and availability. Much mobile application is being developed to serve as a tool for health monitoring and nutritional guide. Mobile applications have the ability to support health needs like detecting heart rate, classifying food, and many more. Taking advantage of technology, utilization of it hereby addresses certain issue and problems of human life, especially in health. In this project we attempt to design and develop an Android- based food recognition and recommendation application that could be used as a health advisor for every health group. The application lets the user take the photo of the food and recognizes it using deep learning and shows the nutritional value of the food and then applying classification algorithms on the gathered data, it will inform whether it is healthy for a particular group of people (like diabetic patients). We believe this will be an effective way to recognize the food category and efficiently analyze the nutritional value of it. Since it’s a mobile- based application, it will be convenient for the users to access the application from wherever and whenever they wish to, and create awareness which will promote healthy lifestyle and better nutrition.

Food Recognition Recommendation Machine Learning AI Image Recognition Android Application

"Food Recognition and Recommendation Application", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.672-674, May-2019, Available :http://www.jetir.org/papers/JETIR1905199.pdf

"Food Recognition and Recommendation Application", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp672-674, May-2019, Available at : http://www.jetir.org/papers/JETIR1905199.pdf