🎓 Student Wellness Data Analytics

An intelligent, data-driven wellness monitoring and analytics platform designed to help students track, analyze, and improve their daily habits, mental well-being, and overall lifestyle through interactive visual insights and personalized feedback.

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2. Overview

Student Wellness Data Analytics is a modern full-stack wellness tracking application that enables students to monitor key lifestyle indicators such as stress levels, sleep patterns, mood, study hours, water intake, physical activity, screen time, and family/social interactions.

Built using React.js (Vite + Tailwind CSS v4) for the frontend and Node.js + Express.js for the backend, the platform transforms raw wellness data into meaningful insights through advanced analytics and interactive visualizations.

The application features a resilient and adaptive data architecture powered by MongoDB with an automatic fallback mechanism to a local JSON database (data.json), ensuring uninterrupted operation even when database connectivity is unavailable.

Using Chart.js, the platform generates dynamic dashboards, trend analyses, behavioral correlations, wellness balance assessments, and a customized Happiness Index that helps students better understand the relationship between their daily habits and overall well-being.

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3. Features

📝 Daily Wellness Check (Survey Form)

• A responsive and user-friendly wellness assessment form designed to capture 8 essential health and lifestyle indicators.
• Features intuitive emoji-based interactions and validation for:
  • Stress Levels 😰
  • Sleep Duration 😴
  • Physical Activity 🏃
  • Water Intake 💧
  • Study Hours 📚
  • Family Interaction 👨‍👩‍👧
  • Screen Time 💻
  • Mood Tracking 😊

📊 Predictive Recommendations & Feedback

• Instant analysis of submitted wellness data against recommended healthy benchmarks.
• Generates intelligent feedback and actionable recommendations.
• Dynamic color-coded alerts:
  • 🔴 High-risk habit notifications
  • 🟢 Healthy achievement indicators

📈 Interactive Analytics Dashboard

• Summary Cards: Displays overall averages for stress, sleep, activity, study, family, and water.
• Mood Distribution: A colorful Pie Chart displaying mood fluctuations (Happy, Neutral, Stressed, Sad).
• Sleep Distribution: A Doughnut Chart grouping sleep hours into ranges (0-4h, 5-6h, 7-8h, 9+h).
• Average vs. Recommended Targets: A grouped Bar Chart comparing student behavior directly against standard targets.
• Stress Level Trend: A smooth, interactive Line Chart outlining stress progression.
• Sleep vs. Water Intake: An insightful comparative Bar Chart contrasting actual hydration and sleep against optimal levels.
• Wellness Balance Overview: A comprehensive Radar Chart mapping out average metrics vs. the ideal balance across 6 axes.
• Correlation Strengths: Analytical Bar Chart showcasing the mathematical correlation strengths between sleep, stress, activity, and study.
• Happiness Index: A circular Gauge (Doughnut) Chart computing a holistic wellness score based on balanced lifestyle ratios.

🔄 Resilient Database Fallback System

• Automatically performs data operations using MongoDB when available.
• Seamlessly falls back to a local JSON database (server/data.json) if MongoDB becomes unavailable.
• Ensures continuous functionality and zero data collection interruptions.

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4. Tech Stack

🎨 Frontend

• Core: React.js (v18.3.1) & Vite
• Styling: Tailwind CSS (v4)
• Routing: React Router DOM (v7)
• HTTP Client: Axios
• Visualization: Chart.js & React Chartjs 2

⚙️ Backend

• Runtime: Node.js & Express.js
• Database ODM: Mongoose & MongoDB
• File Database: Node.js native filesystem modules (fs, path) for local JSON fallback
• Security: Prepared with bcryptjs and jsonwebtoken for future authentication

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5. Installation & Running the Project

Prerequisites

• Node.js (v16.0.0 or higher)
• MongoDB Community Server (Optional - falls back to local JSON database automatically)

Setup Steps

1. Clone the Repository:

   git clone https://github.com/David-Antony/Student-Wellness-Analytics.git
   cd Student-Wellness-Analytics

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Option A: The Quick Start (Single Command - Recommended) 🚀

This method installs dependencies and runs both the frontend and backend concurrently using a single terminal window.

1. Install All Dependencies: From the root directory, run the following command to install all packages for the root, client, and server:

   npm run install-all

2. Start Both Frontend & Backend: Launch both servers simultaneously with:

   npm run dev

   • Frontend (React/Vite): Runs on http://localhost:5173
   • Backend (Express): Runs on http://localhost:8000

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Option B: Manual Start (Separate Terminals) 💻

If you prefer to run and view logs for the client and server in separate terminal windows, follow these steps:

1. Start the Backend Server

1. Navigate to the server directory:

   cd server

2. Install server dependencies:

   npm install

3. Run the development server (runs on Port 8000):

   npm run dev

2. Start the Frontend Client

1. Open a new terminal window and navigate to the client directory:

   cd client

2. Install client dependencies:

   npm install

3. Run the development client (launches on Port 5173):

   npm run dev

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6. Screenshots

Daily Wellness Check Form	Personal Analysis

Dashboard	Personalised Insights

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7. Future Improvements

• Deployment: Planned to deploy this with massive dataset and for accurate dashboard analytics
• User Profiles & Secure Authentication: Fully implement JWT and Bcryptjs for secure logins, allowing students to keep their wellness logs private.
• Custom Date Range Filtering: Add calendar-based filters to analyze trends over a specific week, month, or semester.
• Report Generation: Provide an option to export weekly wellness summaries as PDF or CSV reports.
• Goal Tracking & Streaks: Gamify healthy habits by rewarding students with streaks for hitting water, sleep, and exercise goals.
• Stress Alerts: Email or push notification prompts when sleep dips too low or stress levels remain high for consecutive days.