SMART BMI ANALYZER WITH PERSONALIZED HEALTH INSIGHTS AND PREDICTIVE ANALYSIS SYSTEM

Body Mass Index (BMI) is a widely used measure to assess an individual’s body weight relative to height. However, traditional BMI calculators only provide numerical results without meaningful interpretation or guidance. This research presents the design and development of a Smart BMI Analyzer that not only calculates BMI but also provides personalized health insights, recommendations, and predictive analysis.
The proposed system takes user inputs such as height, weight, age, and gender to calculate BMI and classify it into standard categories. Additionally, the system analyzes the user's health condition and provides tailored suggestions related to diet, exercise, and lifestyle improvements. A key feature of the system is its ability to predict future BMI trends based on user goals and current progress.
The application is developed using HTML, CSS, JavaScript,and Json file, ensuring accessibility and ease of use without requiring complex backend systems. The system also incorporates data visualization techniques to display progress over time.
The results demonstrate that the Smart BMI Analyzer enhances user awareness and encourages healthier lifestyle choices. This project highlights the potential of simple web technologies in creating intelligent health-support tools.