Contact person: Business Client

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Location: Harare, Zimbabwe

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Project Title: Lost & Found Identity Document Recovery Application

1. Project Overview

This mobile application is designed to assist in the recovery of lost national identity documents. The app allows users to scan official documents, extract key identity details, store them offline, and later synchronize the data to a central cloud database when internet connectivity becomes available.

Users who have lost their documents can search the system using an ID number or name to check if their document has been scanned and reported, and view the location where it was found.

The system is optimized to function with minimal internet connectivity, making it suitable for areas with limited or unreliable network access.

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2. Supported Documents

The application must be able to recognize and process the following documents:
• National Identity Cards
• Passports
• Driver’s Licenses
• Birth Certificates

Each document type may have different layouts, but the app should extract at minimum:
• Full name of the holder
• Document / ID number

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3. Target Users
• General public (people who find lost documents)
• Government agencies or authorized institutions
• Security personnel
• Community leaders or volunteers

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4. Core Functional Requirements

4.1 Document Scanning
• The app must use the mobile phone camera to scan physical documents.
• Optical Character Recognition (OCR) is used to extract:
• Full Name
• ID / Document Number
• The user must confirm or correct extracted details before saving.

4.2 Document Type Selection
• Before scanning or searching, the user is presented with a menu to select:
• National ID
• Passport
• Driver’s License
• Birth Certificate

This helps the system apply the correct OCR template and validation rules.

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4.3 Offline Data Storage
• The app must function fully offline.
• Scanned data is stored locally on the device using:
• Local encrypted database (e.g., SQLite)
• Stored information includes:
• Document type
• Holder’s name
• ID number
• Date & time scanned
• GPS location (if enabled)
• Device identifier (for traceability)

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4.4 Location Capture
• When scanning, the app captures the geographical location where the document was found.
• Location capture must:
• Work offline (GPS-based)
• Be optional if GPS is disabled
• Location data is later uploaded with the document details.

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4.5 Cloud Synchronization
• When minimal internet connectivity is detected:
• The app automatically synchronizes locally stored records to the cloud server.
• Sync must:
• Be lightweight (low data usage)
• Resume automatically if interrupted
• Avoid duplicate uploads using unique document hashes

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4.6 Search Functionality
• Users can search for lost documents by:
• Selecting document type
• Entering ID number or name in a search bar
• Search results should display:
• Document type
• Holder’s name
• Partial ID number (masked for privacy)
• Location where the document was scanned
• Date it was found

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5. User Interface (UI) Description

5.1 Home Screen
• Options:
• Scan Document
• Search Document
• Sync Data
• Help / About

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5.2 Scan Screen
• Camera view with scan guide overlay
• Dropdown or buttons to select document type
• Preview screen to verify extracted details
• Save button (stores data locally)

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5.3 Search Screen
• Document type selection menu
• Search bar for ID number or name
• Results list view
• Map or text-based location display

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5.4 Sync Status Screen
• Shows:
• Number of unsynced records
• Last sync time
• Sync progress indicator

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6. Non-Functional Requirements

6.1 Low Data Usage
• App must:
• Compress uploaded data
• Avoid image uploads unless required
• Sync text data first

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6.2 Performance
• OCR processing should be optimized for low-end devices.
• Local database queries must be fast and responsive.

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6.3 Security & Privacy
• All stored data must be:
• Encrypted at rest (local storage)
• Encrypted in transit (HTTPS)
• Sensitive information must be:
• Masked in search results
• Accessible only to authorized users (if login is required)

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6.4 Scalability
• Cloud backend must support:
• Multiple devices syncing data
• Thousands of document records
• APIs must be designed for horizontal scaling.

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7. System Architecture (High-Level)

7.1 Mobile App
• OCR Engine (on-device)
• Local Encrypted Database
• GPS Module
• Sync Manager

7.2 Cloud Backend
• REST API for data upload & search
• Central Document Database
• Authentication & Access Control
• Search Indexing Service

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8. Suggested Technologies (Optional)
• Mobile App: Flutter / React Native / Android (Kotlin)
• OCR: Google ML Kit (offline), Tesseract OCR
• Local Storage: SQLite with encryption
• Backend: Node.js / Django / Spring Boot
• Database: PostgreSQL / MongoDB
• Cloud Hosting: AWS / Azure / Google Cloud" (client-provided description)