TRLUP AI food therapist

Project Title:
AI-Powered Food Therapist for Health Monitoring and Dietary Therapy

Project Description:
This project is an innovative AI-powered health application designed to empower users to monitor their health through medical image analysis and receive personalized food therapy recommendations. Users can upload medical images—such as photos of their tongue, skin, eyes, or other relevant diagnostic visuals—through a user-friendly mobile interface. The system leverages advanced computer vision and machine learning models to analyze these images and detect potential health issues or imbalances.

Based on the AI-driven diagnosis, the application provides targeted suggestions for food therapy rooted in evidence-based nutrition science and traditional holistic approaches (e.g., Ayurveda, Traditional Chinese Medicine, or naturopathy, depending on configuration). The goal is to offer natural, food-based remedies that can support healing and improve overall wellness.

Core Features:
Medical Image Upload: Users can easily capture and upload images using their smartphones.

AI-Based Image Analysis: Deep learning models analyze images to identify potential health concerns or signs of imbalance.

Personalized Food Therapy: Based on the diagnosis, the app recommends foods, ingredients, and meal plans aimed at aiding recovery and supporting long-term health.

Self-Monitoring Dashboard: Users can track changes over time through image comparisons and health trend analytics.

Real-Time Feedback: Integrated with cloud functions for fast processing and real-time result delivery.

Target Users:
Individuals interested in proactive, natural approaches to health and wellness.

People managing chronic conditions who want complementary, food-based support.

Health-conscious users seeking personalized nutrition advice based on physical symptoms.

Faculty Supervisor:

Jolen Galaugher;Janfizza Bukhari

Student:

Partner:

North Forge

Discipline:

Computer science