AI-Powered Personalized Nutrition Recommendation System

In the burgeoning field of Nutrition & Dietetics, there's an increasing demand for personalized dietary solutions that cater to individual nutritional requirements. Our startup seeks to build an AI-powered recommendation system that utilizes state-of-the-art technologies such as NLP, predictive analytics, and computer vision. The system will intake user data through a simple interface, analyze it using models developed with TensorFlow and PyTorch, and generate personalized dietary recommendations. By integrating the OpenAI API and leveraging tools like Hugging Face for natural language processing, we aim to provide users with a seamless experience in understanding their dietary needs. Our platform will also employ computer vision techniques, possibly using YOLO, to analyze food images uploaded by users, further refining dietary suggestions. Predictive analytics will play a crucial role in forecasting dietary outcomes and adapting recommendations over time. The project is critical to address the increasing consumer demand for personalized health solutions that are both convenient and scientifically grounded. With an urgent timeline of 4-6 weeks and a budget of $5,000 to $25,000, we are keen to engage talented freelancers who can deliver a robust and scalable solution.