Built an end-to-end web application that uses deep learning to recognize meals from images and estimate nutritional information. Fine tuned the last seven layers of an EfficientNet model to adapt it for food classification, achieving 93% training accuracy. Integrated the model into a web interface for real time image uploads and calorie estimation, focusing on practical usability and fast inference.