MediSense

Inspiration

Inspired by the need for accessible healthcare tools, this project captures medical data (vitals, symptoms, medications) and turns it into interactive dashboards and insights.

What it does

MediSense captures vitals, symptoms, and medications and presents them through an interactive dashboard with visual insights, health summaries, and AI-powered recommendations. It bridges patients, families, and doctors for better communication and early detection.

How we built it

Built with React (Vite + Tailwind) and Django REST APIs, it taught me API integration, secure authentication, and effective data visualization.

Challenges we ran into

Challenges included ensuring data security, smooth frontend–backend communication, and designing clear health insights.

Accomplishments that we're proud of

• Built a working MVP that connects frontend and backend smoothly
  
• Designed an intuitive dashboard for healthcare insights
  
• Implemented secure token-based authentication for patient data
  
• Created a foundation for AI-powered health recommendations
  ## What we learned We learned how to:
  
• Build a full-stack app with React (Vite + Tailwind) and Django REST APIs
  
• Implement secure authentication and API integration
  
• Design user-friendly health visualizations and dashboards
  ## What's next for MediSense
• Add AI-driven health risk predictions
  
• Enable real-time monitoring via IoT devices
  
• Launch a mobile-first version for accessibility
  
• Support multiple languages for inclusivity
  

Built With

• axios
• django
• git
• github
• javascript
• jwt
• postgresql
• python
• react
• restfulapi
• tailwind