Apply Now
top-right-arrow
Menu
Close

AI Based Diet Recommendation System

AI Based Diet Recommendation System

The AI-Based Diet Recommendation System is an intelligent platform designed to provide personalized diet plans and nutritional recommendations based on individual health and lifestyle information. Using Artificial Intelligence and Machine Learning algorithms, the system analyzes user details such as age, gender, height, weight, BMI, physical activity level, and food preferences to recommend suitable diet plans and daily calorie requirements.

Developed using Python, Scikit-learn, Pandas, and NumPy, the system uses Decision Tree Classification and K-Nearest Neighbors (KNN) algorithms to generate customized dietary recommendations. It aims to promote healthy eating habits, simplify diet planning, and make personalized nutrition guidance more accessible.

 

About the Project

The AI-Based Diet Recommendation System is a Machine Learning-powered application designed to help individuals make better dietary choices through personalized nutrition recommendations. The system collects user information, including age, gender, height, weight, BMI, activity level, and food preferences, and processes these details to generate suitable diet plans.

By combining Decision Tree Classification and K-Nearest Neighbors (KNN), the system aims to recommend appropriate diet categories, estimate daily calorie requirements, and provide nutritional guidelines based on individual profiles.

Objectives

  • Analyze individual health and dietary information.
  • Calculate and classify Body Mass Index (BMI).
  • Generate personalized diet recommendations.
  • Estimate daily calorie requirements.
  • Suggest suitable nutritional guidelines.
  • Encourage balanced eating habits and healthy lifestyles.

Key Features

  • Personalized diet recommendations.
  • Automatic BMI calculation.
  • BMI-based classification.
  • Daily calorie requirement estimation.
  • Food preference consideration.
  • Machine Learning-based diet classification.
  • Customized nutritional guidelines.
  • Diet reports and recommendation summaries.

Technologies Used

  • Programming Language: Python
  • Artificial Intelligence: Machine Learning
  • Primary Algorithm: Decision Tree Classifier
  • Supporting Algorithm: K-Nearest Neighbors (KNN)
  • Libraries: Pandas, NumPy, Scikit-learn
  • Data Visualization: Matplotlib / Seaborn
  • Frontend: Streamlit / Flask
  • Database: SQLite / MySQL
  • Development Environment: Jupyter Notebook / VS Code

Applications

  • Personal Diet Planning
  • Health and Wellness Platforms
  • Fitness and Lifestyle Management
  • Nutrition Awareness Programs
  • Personalized Food Recommendation
  • Healthy Eating Guidance

Expected Outcome

The project aims to develop an intelligent diet recommendation platform that analyzes individual information and generates personalized dietary suggestions. It helps users understand their nutritional needs, monitor BMI, estimate calorie requirements, and make informed food choices. The system provides general nutritional guidance and is not intended to replace professional medical or dietitian advice.