LIFELENS: INTEGRATED BMI, WORKOUT, AND AI RECIPE RECOMMENDATION SYSTEM

Mohammed Irfan, B and Fathima Rumaiza, SM (2026) LIFELENS: INTEGRATED BMI, WORKOUT, AND AI RECIPE RECOMMENDATION SYSTEM. International Research Journal of Modernization in Engineering Technology and Science. ISSN 2582-5208

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Abstract

Maintaining a healthy lifestyle has become increasingly important in today’s fast-paced world. However, many
individuals struggle to balance fitness tracking, workout planning, and nutritional guidance using separate
applications, resulting in reduced convenience and inconsistent health management. This project proposes
LifeLens: Integrated BMI, Workout, and AI Recipe Recommendation System, a smart web-based platform
designed to combine essential health management features into a single system. The application calculates
Body Mass Index (BMI) using user height and weight inputs to provide accurate health assessments. Based on
BMI results, the system offers personalized workout recommendations to encourage physical fitness and
improve overall well-being. Additionally, the system integrates an AI-powered recipe recommendation module
that generates customized healthy meal suggestions according to user preferences, promoting balanced
nutrition. The platform is implemented using the Flask framework, ensuring simplicity, accessibility, and
efficient performance. The proposed system serves as a comprehensive digital health assistant that enhances
user convenience by integrating fitness, nutrition, and wellness monitoring into one intelligent platform. It
demonstrates the practical application of web development and artificial intelligence technologies in modern
healthcare solutions.
Index Terms: BMI Calculator, Workout Planning, AI Recipe Recommendation, Flask Framework, Health
Monitoring, Nutrition System, Personalized Fitness, Web Application

Item Type: Article
Subjects: Computer Applications > Artificial Intelligence
Computer Applications > Computer Architecture
Depositing User: Mr IR Admin
Date Deposited: 09 May 2026 08:38
Last Modified: 10 May 2026 08:40
URI: https://ir.vistas.ac.in/id/eprint/14215

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