This document provides a detailed overview of the website flow for the Medetect project. The flow describes the user interaction from signing up or logging in to generating a medical report and displaying nearby hospitals and contacts.
The entry point for all users is the Sign-Up / Login page.
- Existing Users: Log in using their credentials to access the dashboard.
- New Users: Must sign up and provide personal details.
After login/sign-up, the system checks if the user is logging in for the first time.
-
If Yes (First-Time User):
The user is redirected to enter their personal and medical details. -
If No (Returning User):
The user is directed to the dashboard to upload photos for processing.
First-time users are required to fill in their details, which will be stored for generating reports.
- Name
- Age
- Blood Group
- Emergency Contact Number
- Family Doctor Contact
- Hospital Name
- Hospital Contact (if any)
Once on the Dashboard, users can:
- Upload the photos to be processed.
- The photos are passed to the roboflow model (Vision Transformer architecture) for prediction and analysis.
The uploaded images are processed by the ViT model:
- The model returns:
- Predicted Class/Condition
- Confidence Level
- The results are returned in JSON format.
Using the predictions:
- A Medical Report is automatically generated.
- The report is compiled as a PDF file for easy access and sharing.
After generating the report:
- The system displays a map with:
- Nearby hospitals
- Emergency contacts
This assists users in taking immediate action if required.
The website also features our chatbot - 'Medibot', trained on our custom data. Medibot features -
- Multi-lingual language support with over 50+ languages.
- Voice command features (Voice-to-text)
- Answer provided in regional scripts and dialects.
