MED-Predict

🚀 My Full-Stack ML Project — Feedback Needed!

Hey folks, I’m a young developer currently exploring the worlds of web dev and machine learning. Recently, I built my first full-stack project — a Medical Cost Predictor — with the goal of learning and eventually turning it into something meaningful for real people.

🛠️ Tech Stack:

Frontend: React.js

Backend: Flask

Database: MongoDB

ML: A blended regression model using Random Forest & XGBoost

📊 The model predicts medical costs based on:

Age

BMI

Number of children

Sex

Smoking habits

Region (SW, NW, SE, NE)

✅ Right now:

You can log in, input health info, and get a cost prediction

The result is stored and visualized on a dashboard with a cost history chart

Data is user-specific and persists via MongoDB

🎯 This started as a practice app, but now I want to make it genuinely helpful. So I'd love some feedback from you:

🔍 How can I improve it? What features, UX changes, or ML suggestions do you have? 💙 What do you like about the current implementation? 🧠 Any creative ideas to take it a step further?

few photos are posted
! — happy to share it if you're curious.

Thank you in advance for your honest and constructive criticism. Every insight helps me grow 🙏