Kothi Madhuri

Food recognition from images is a challenging problem because many food items appear visually similar and often contain multiple ingredients. Lighting conditions, camera angles, and presentation styles further complicate the task. This project proposes an Enhanced Food Detection and Nutritional Inference System that uses artificial intelligence to detect food items from images and estimate their nutritional values. The system integrates computer vision models, vision–language reasoning techniques, and a structured nutrition database to generate nutritional information automatically. The workflow includes image preprocessing, food detection, food identification using AI reasoning, and mapping the detected food items to a nutritional database. The final system provides nutritional insights such as calories and macronutrients to help users better understand their dietary intake

TBD