SeeFood is an ingenious application inspired by the popular show Silicon Valley, designed to identify and classify 10 distinct types of food and provide their corresponding recipes using Flutter and Tensorflow Lite. It incorporates an Image Classification Model (Mobilenet V2), trained with Tensorflow and Keras, to recognize food items. The model was then converted to the Tensorflow Lite format for efficient on-device inference, while the mobile app built with Flutter utilized the tflite library for seamless offline inference.