International Journal of Science, Engineering and TechnologyAuthors: Asst.Prof.Nidhi Pandey, Sahil Harkude, Dhruv Tiwari, Chaitanya Darekar, Vaibhav Khatore
Abstract: During our research, we discovered that while tracking nutrition is essential for maintaining good health, existing apps frustrate users with tedious manual data entry requirements. This led us to de- velop NutriSense, an innovative solution that eliminates the hassle by automatically analyzing meal photographs. Our platform integrates Google’s Gemini AI to recognize food items from images and in- stantly compute comprehensive nutritional breakdowns including calories, proteins, carbohydrates, and fats. Additionally, we implemented an intelligent chatbot that provides users with personalized dietary guidance based on their eating patterns. The application runs seamlessly across mobile devices and desktop computers through responsive web design, built using React for the frontend and Node.js for backend operations. Our evaluation phase revealed promising results, with the system accurately iden- tifying various food types and delivering reliable nutritional calculations. The platform enables users to visualize their daily nutritional intake, analyze long-term dietary trends, and receive customized rec- ommendations from our AI nutritionist. Through this work, we demonstrate the practical potential of combining artificial intelligence with modern web development to create accessible tools that genuinely support healthier lifestyle choices.
DOI: https://doi.org/10.5281/zenodo.17452604
