• Tejswini Balpande
• Namrata Durbude
• Nikita dhotkar
• Heena Satpue
• Vijay.v.Chakole

This project is used to identify the automatic fruits detection using Artificial Intelligence (AI). The main objective of this project is to detection of fruits and estimate calories using the image acquired by camera. It is used to study human diet and lifestyle, large sets of egocentric images were acquired using a wearable device like camera. It can also be detect shape, size, color etc. The identifying the fruits and calories from an image is quite an interesting field with various applications. Since fruit monitoring plays an important role in health-related problems, it is becoming more essential in our day-to-day life. For this purpose an recognition for fruit is presented by considering its shape, color, size and texture characteristics. In this paper our approach has been presented to recognize the image of fruit using convolution neural networks (CNN) based on fruit image recognition algorithms. The main goal of our research is to enhance and improve the accuracy of dietary assessment by analyzing the fruit images captured by using mobile devices (e.g. smartphone). It requires mobile application to have the internet connection, but it’s independent from your programming language choice and resources limitations which is important for mobile device.

Artificial Intelligence, Convolutional Neural Networks (CNN), Calorie measurement, Fruit image recognition.

"AUTOMATIC FRUITS DETECTION USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.86-89, February 2020, Available :http://www.jetir.org/papers/JETIR2002417.pdf

"AUTOMATIC FRUITS DETECTION USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp86-89, February 2020, Available at : http://www.jetir.org/papers/JETIR2002417.pdf