A modern health and wellness platform designed to help users monitor symptoms, analyze health trends, manage wellness goals, and receive personalized health insights through an interactive and user-friendly interface.
SymptoTrack is a comprehensive health monitoring application that empowers users to take charge of their well-being by tracking symptoms, monitoring health metrics, analyzing trends, and maintaining healthy lifestyle habits. The platform combines wellness management, disease awareness, voice interaction, and mindfulness tools into a single seamless experience.
- Centralized overview of health data
- Quick access to health insights and statistics
- Visual representation of wellness progress
- Record and monitor daily symptoms
- Maintain a history of reported symptoms
- Track symptom frequency and severity over time
- Analyze symptoms against predefined health conditions
- View potential disease matches based on symptom patterns
- Educational health awareness tool
- Interactive charts and visualizations
- Track health trends over time
- Monitor improvements and identify patterns
- Set personal wellness goals
- Monitor goal completion and progress
- Encourage healthy habits through consistent tracking
- Wellness-focused activities and resources
- Promote mental well-being and stress management
- Support healthy lifestyle routines
- Interactive chatbot for health-related guidance
- Provides responses to common health queries
- Offers basic wellness recommendations
- Voice-enabled interaction for improved accessibility
- Hands-free navigation and assistance
- Enhanced user experience
- Achievement-based engagement
- Progress tracking and motivation
- Encourages consistent health monitoring
- Light Mode
- Dark Mode
- Responsive and modern UI design
- React
- TypeScript
- Vite
- React Router
- Tailwind CSS
- React Context API
- Firebase Hosting
- Browser Local Storage
src/
├── components/
├── pages/
├── contexts/
├── data/
├── hooks/
├── assets/
├── utils/
└── App.tsxgit clone https://github.com/your-username/SymptoTrack.git
cd SymptoTracknpm installnpm run devnpm run buildnpm run preview- Clean and intuitive interface
- Fully responsive design
- Interactive dashboards and analytics
- Accessible voice-assisted features
- Wellness-focused user journey
- Personal symptom monitoring
- Health habit tracking
- Wellness goal management
- Health trend analysis
- Disease awareness and education
- Mindfulness and stress management
- User Authentication
- Cloud Database Integration
- AI-Powered Health Recommendations
- Real-Time Health Monitoring
- Wearable Device Integration
- Hospital & Doctor Locator
- Machine Learning-Based Risk Prediction
- Personalized Health Reports
Aditya Yadav Lakshya Sabharwal
Aspiring Full Stack Developer passionate about building impactful solutions that combine technology, data, and user-centric design to solve real-world problems.
This project is licensed under the MIT License.
⭐ If you found this project useful, consider giving it a star on GitHub.
because it sounds significantly stronger than just "Symptom Tracker" while still accurately representing the existing project.