Mobile AI for Food Image Recognition Using Knowledge Distillation

The project involves building and curating a comprehensive food image dataset suitable for mobile AI applications. High-accuracy deep learning models will be trained on this dataset and then compressed into lightweight student models using knowledge distillation, enabling efficient real-time inference on mobile devices. The distilled models will be deployed and optimized on mobile platforms, with their performance evaluated in terms of classification accuracy, computational speed, and overall usability.