MediPredict AI

Inspiration

We wanted to build a simple tool that helps people understand their health early. Many ignore symptoms or lack access to doctors, so we created MediPredict AI to make early health awareness accessible to everyone.

What it does

MediPredict AI takes user symptoms, analyzes them with an AI-based logic, and gives instant risk insights (Low/Medium/High) with possible conditions and recommendations. It’s not a diagnosis tool — it’s an early-awareness assistant.

How we built it

We used HTML, CSS, and JavaScript for the frontend and built a custom rule-based prediction system on the backend. The site is deployed on Base44 with a clean, simple user flow and future support for ML models.

Challenges we ran into

We faced issues with designing a reliable prediction flow, making the UI intuitive, deploying the website, and managing time during development. But each challenge improved our teamwork and solution quality.

Accomplishments that we're proud of

We built a working AI-based health prediction website from scratch, designed a clean UI, deployed it successfully, and created a useful tool that can genuinely help users.

What we learned

We learned how to design health-tech apps, build prediction logic, deploy web apps, communicate as a team, and solve problems under time pressure.

What's next for

MediPredict AIWe plan to add real ML models, support more symptoms, improve the UI, introduce user accounts, enhance accuracy, and eventually build a full mobile app version.

Built With

• browser
• css
• html
• javascript
• vscode