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DawaiSathi — Project Presentation

"Your family's medicine companion, powered by AI"

1. Problem Statement

Managing medicines for a family is hard.

  • Prescriptions pile up on paper.
  • Family members forget when and what to take.
  • There is no shared view of everyone's medicine schedule.
  • Medicines expire or run out without anyone noticing.

DawaiSathi solves this for the entire family, from a single phone.

2. What is DawaiSathi?

DawaiSathi is an AI-powered family medicine management app that:

  • Scans prescription papers using your phone camera
  • Automatically extracts medicine names using Google Gemini AI
  • Stores medicines in a personal cabinet with a daily schedule
  • Shares management across family members

3. Core Features

AI Prescription Scanner

  • Open the scanner and point your camera at a prescription paper
  • Gemini Vision AI reads and extracts all medicine names from the image
  • Supports multiple medicines from a single prescription
  • Flash toggle for low-light environments

Medicine Cabinet

  • Every medicine is stored with its name, schedule time slots (Morning, Afternoon, Evening, Night), and an optional photo
  • Cabinet is organized by time of day for easy daily reference
  • Tap any photo in the cabinet to view it full-screen
  • Medicines can be permanently deleted with all future reminders

Daily Schedule

  • Each medicine can be assigned to one or multiple time slots per day
  • The schedule repeats every day
  • The cabinet always shows today's full schedule at a glance

Family Mode

  • Create or join a family group using a family member's email
  • Each family member has their own personal cabinet
  • Switch between family member views from any screen
  • Add medicines to any family member's cabinet after scanning

Inbox and Requests

  • Family join requests appear in the inbox for approval
  • One-tap accept to add someone to your family

Google Authentication

  • Sign in with Google — no passwords to remember
  • JWT-based session management for security

4. Tech Stack

Layer Technology
Frontend React 18, TypeScript, Vite
Styling Vanilla CSS (mobile-first, glassmorphism)
Backend Python Flask
Database SQLite (dev) / PostgreSQL (prod ready)
AI / Vision Google Gemini 2.0 Flash
Authentication Google OAuth 2.0 + JWT
Camera react-webcam (hardware camera access)

5. Architecture Overview

+-----------------------------+
|       React Frontend        |
|  (Vite, TypeScript, CSS)    |
|                             |
|  Pages: Cabinet, Scanner,   |
|  Family, Inbox, Approval    |
+-------------|---------------+
              |  REST API (JWT auth)
              v
+-----------------------------+
|      Flask Backend          |
|                             |
|  Routes: auth, medicine,    |
|  family, cabinet            |
+------|----------------------+
       |
  +----|------+
  |           |
  v           v
SQLite DB   Google Gemini API
(users,     (prescription
 meds,       extraction)
 family)

6. User Flow

1. User opens app > Google Sign In
2. Lands on Cabinet (today's schedule)
3. Taps Scan > Camera opens full-screen
4. Points at prescription > Taps capture
5. Gemini extracts medicine names
6. User reviews/edits each medicine + assigns time slots
7. Taps "Add to Cabinet" > Medicine saved
8. Cabinet shows all medicines for today by time slot
9. Family member can be switched > their cabinet loads

7. Key Design Decisions

Mobile-First

The app is designed like a native mobile app — full-screen layout, bottom navigation, native camera access, no sidebars.

No App Store Required

It is a Progressive Web App (PWA) — users can add it to their home screen directly from the browser.

AI-First Scanning

Instead of typing medicine names manually, the AI reads the prescription. This is critical for users who may not be tech-savvy or struggle to type medical names correctly.

Family-Centric

The family model treats medicine management as a shared responsibility — parents can manage children's medicines, adult children can manage elderly parents' medicines, all in one app.

8. What's Next (Future Scope)

  • Push notifications — remind at each time slot (Morning, Evening, etc.)
  • Refill alerts — track quantity and alert when running low
  • Medicine expiry tracking
  • Prescription history — archive scanned images permanently
  • Cloud database — PostgreSQL on production
  • Regional language support — Hindi, Bengali, Tamil prescription reading

9. Demo

Live URL (dev tunnel): https://qflq30jf-5173.inc1.devtunnels.ms

GitHub: https://github.com/Project-eigen/version_1

Built for Project Eigen