Abstract / Introduction

Health issues such as diabetes, hypertension, obesity, cardiovascular diseases, and stress-related conditions are on the rise due to sedentary lifestyles, poor diets, and irregular medical checkups. Many people neglect their health until symptoms become severe, leading to late diagnosis and expensive treatments. While regular checkups can aid in early detection, they are often costly, time-consuming, and impractical for daily use.

The Smart Health Monitoring System (SHMS) addresses this gap by allowing users to manually input their daily health information. Using Artificial Intelligence, it offers early predictions of potential health risks, lifestyle recommendations, and clear visualizations of health trends, empowering individuals to monitor and enhance their health proactively.

Functional Requirements:

Below are some functional requirements in the form of modules. Students will analyze, identify, and provide detailed functional requirements in the Software Requirement Specifications (SRS) document.

Health Data Entry Module

• A web-based interface for users to manually enter their information (e.g., weight, blood pressure, sugar level, sleep hours, exercise minutes, mood or stress level).
• Validate user input to prevent negative or unrealistic values.
• Store each user entry with a timestamp for future analysis.
• Allow users to update or delete past entries.

Data Storage, Management, Pre-processing & Cleaning

• Utilize a secure and structured database to store the data entered into the monitoring system.
• Provide an interface to upload users into the system in CSV/Excel format.
• Allow import/export of user data in SQL/CSV/Excel files.
• Pre-process and clean data received through any medium before entering it into the database.

AI Prediction & Risk Analysis

• Apply machine learning algorithms to predict early risks of diseases (e.g., diabetes, hypertension).
• Perform anomaly detection for sudden unusual readings (e.g., very high blood pressure).
• Assign a risk level (Low, Medium, and High) for each user.
• Use adaptive learning to continuously enhance accuracy.

Alerts, Notifications & Recommendations

• Send immediate alerts when dangerous values are detected.
• Provide early warnings for gradually worsening trends.
• Highlight critical health insights on the user dashboard.
• Generate personalized recommendations (exercise tips, diet suggestions, sleep improvements, stress management).

Health Visualization & Trends Module

• Display interactive charts and graphs of health metrics over time.
• Allow users to filter by daily, weekly, or monthly trends.
• Highlight improvements or declines in health.
• Generate daily, weekly, or monthly health reports in PDF format including charts and trends.

Main Dashboard

• Central hub to access all system features.
• Ensure a simple, user-friendly interface.

Note: You can use any other tools of your choice.