diet-recommendation

A personalized diet plan recommendation system is proposed that uses a knowledge base and rules to infer a user's dietary requirements and suggest an appropriate meal plan. This is web application created by using React Node js Python and Prolog

Personalized diet recommendation web app using Next.js, React, and Gemini AI. Multi-step form collects health data to generate tailored dietary plans.

Nutrivisor is an AI-powered smart nutrition and fitness management web application designed to help users maintain healthier eating habits through intelligent food recommendations, diabetic-aware meal analysis, calorie tracking, and exercise guidance.

基于 Java Servlet + JSP + MySQL 的健康饮食推荐系统，包含健康档案、饮食记录、问卷评估和推荐管理。

Our major project aims to create an easy-to-use app that helps users track their daily food intake, understand nutritional content, set and achieve fitness goals, plan workouts, receive reminders, and get personalized support.

AI-powered Java Calorie Tracker with JavaFX UI, SQLite persistence, and a FastAPI ML service for personalized calorie/macro recommendations, healthy meal suggestions, feedback-driven retraining, explainable insights, and recommendation history.

Recommends suitable diet plans based on a user’s BMI using rule-based logic.

AI-powered blood work analyzer that extracts test values, flags abnormalities, and suggests personalized Indian diet plans using a two-stage LLM pipeline built with LangChain and Streamlit.