Built independently as a data-driven health analytics project.
- 🌐 Live App: https://sleep-tracker-analyze.vercel.app/
Poor sleep habits are common among students and professionals, leading to:
- Reduced productivity
- Mental fatigue
- Irregular daily routines
Most people do not track their sleep consistently or understand their patterns.
👉 This project solves this by converting raw sleep data into actionable insights.
The application enables users to:
- Log daily sleep duration
- Visualize trends over time
- Identify irregular sleep patterns
It transforms simple inputs into meaningful insights using data visualization.
- 📊 Sleep tracking system
- 📈 Interactive charts and trend analysis
- 🔍 Pattern detection for irregular sleep
- 📅 Historical sleep records
- ⚡ Clean and responsive UI
- Frontend: React.js
- State Management: React Hooks
- Storage: LocalStorage
- Visualization: Chart.js / Recharts
Sleep-Tracker-Analyze/
│── src/
│ ├── components/
│ ├── pages/
│ ├── utils/
│── public/
│── package.json
│── README.md
git clone https://github.com/hrishu802/Sleep-Tracker-Analyze.git
cd Sleep-Tracker-Analyze
npm install
npm start- User inputs daily sleep data
- Data is stored locally
- Application processes the data
- Graphs and trends are generated
- Insights help improve sleep habits
- Built a real-world data tracking application
- Implemented data visualization techniques
- Strengthened React and component-based architecture
- Learned how to convert user data into actionable insights
- Helps users understand their sleep habits
- Encourages healthier routines
- Demonstrates practical use of data analytics in health domain
- AI-based sleep recommendations
- Integration with wearable devices
- Notifications and reminders
- Advanced analytics (sleep score, predictions)
Technical
- How is sleep data stored and managed?
- How do your charts update dynamically?
- Why did you choose React for this project?
Conceptual
- How do you define sleep quality?
- What patterns can be extracted from sleep data?
System Design
- How would you scale this for multiple users?
- How would you integrate wearable device data?
"I built a Sleep Tracker & Analyzer that helps users monitor and understand their sleep habits. The application takes daily sleep inputs and converts them into meaningful insights using data visualization. I used React to build an interactive UI and implemented trend analysis to identify irregular sleep patterns. This project demonstrates my ability to build data-driven and user-centric applications."
Hrishabh Prajapati
- GitHub: https://github.com/hrishu802
This project was independently designed and developed end-to-end, including:
- Problem identification
- UI/UX design
- Development
- Data handling & visualization
- Testing and deployment
If you like this project:
- Star ⭐ the repo
- Fork 🍴 it
- Share 🚀