"Revolutionizing medical emergency responses and document scanning with smart OCR & Global Patient DB."
๐จโโ๏ธ Co-developed by: Vishnupriyan P R, Vivek K K, and Akshaya K
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OXOCARE is a smart OCR-powered Android app built to assist during medical emergencies and digitize medical documents with high accuracy, maintain records in an global patient db
Combining real-time alerts, role-based login, and OCR-powered scanning, it empowers doctors, patients, and staff to handle critical health data faster and more securely than ever.
- Supports three login types: Doctor, Patient, and Staff
- Secure access with role-specific dashboards and functionality
- Navigation flows tailored per user type
- Scan or upload prescriptions, reports, and records
- Extracts and formats content using Google MLKit OCR
- Auto-highlights key medical info for clarity
- Parsed data displayed in a structured, readable format
- Enhances medical interpretation and record-keeping
- Data stored in protected Firestore database
- Role-based access control ensures confidentiality
- Modern dashboards for seamless experience
- Minimalist UI built with Jetpack Compose principles
OXOCARE bridges two major modules:
- ๐ฅ
My Applicationโ Handles login, role logic, and navigation - ๐งพ
TextRecognizerApp-masterโ Powers OCR scanning, text analysis, and display UI
- ๐ User logs in via their respective role (Doctor/Patient/Staff)
- ๐ท Upload or scan a document using the OCR module
- ๐ Text is parsed, displayed, and saved securely
- ๐ฌ Emergency or health actions can be triggered based on input
erDiagram
USER {
string user_id
string name
string email
string role
string password_hash
}
DOCUMENT {
string doc_id
string user_id
string file_url
string extracted_text
string timestamp
}
ROLE {
string role_id
string role_type
string permissions
}
USER ||--o{ DOCUMENT : uploads
USER }|--|| ROLE : has
OXOCARE/
โโโ MyApplication/ # Multi-role login and navigation
โ โโโ java/... # Android login logic and main app
โโโ TextRecognizerApp-master/ # OCR and document handling module
โ โโโ java/... # MLKit OCR code and display UI
โโโ screenshots/ # UI screenshots (used in README)
โโโ .gitignore
โโโ README.md
- ๐ค Share scanned records directly with health delivery apps like PharmEasy, 1mg, Blinkit Health, etc.
- ๐ง Integrate with Raspberry Pi sensors for vitals-based auto SOS triggers
- ๐ ๏ธ Expand to SQL-based database support (MySQL/PostgreSQL) for large-scale deployment
- ๐ก Add push notifications and real-time alerts for doctors on emergency uploads
- ๐งฌ Use AI/ML to auto-classify prescriptions vs lab reports and suggest actions
MIT License โ Free to use, modify, and scale!
This project is crafted with passion by Fusion Force. We are deeply grateful to our core contributors who poured their expertise and dedication into building OXOCARE from the ground up.
Vishnupriyan P R |
Vivek K K |
Akshaya K |





