A healthy nutrition suggestion model for indian women sports players & active youth using long short-term memory

Abstract

Sports nutrition is the balanced diet or diet chart that helps to improve performance of sports persons. It is globally accepted that Indian foods are rich in nutrition. It is greatly preferred by yogis, gurus and dieticians to intake Indian foods in order to maintain a wellness and healthy lifestyle. Smart watches, wearable devices, mobile applications and digital portals are available to suggest foods to the sports persons. But software application based on Indian foods specifically for women athletes are not exists so far. In this paper an intelligent food recommendation system based on Long Short-Term Memory (LSTM) and LSTM with GRU is proposed to suggest meals for women athletes. LSTM has connections and it processes the entire sequence of data thus, it is week suitable for suggestion models. The performance of the model is validated using evaluation metrices and the result demonstrate its effectiveness.