BhasiniGO – Mobile Application for Megathon Bhashini problem Statement

• PPT Link

This project is developed using React Native CLI with TypeScript for Android

• APK and Demo Video Link

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⚙️ Prerequisites

Before you begin, make sure you have the following installed:

• Node.js (v18 or newer) → Download Node.js
• npm (v10.7 or newer) → Download npm
• Java Development Kit (JDK) - v17 → Download JDK
• Watchman (optional but recommended) → Install Watchman

For detailed setup instructions, refer to the React Native documentation.

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🤖 Android Setup

1. Install Android Studio

• Download Android Studio

2. Install Android SDK (API Level 34 - UpsideDownCake)

• Open Android Studio
• Go to SDK Manager
• Install Android SDK version 14 (API level 34 - UpsideDownCake)

Refer to the React Native Android setup guide for more information.

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3. Preparing Your Android Device

You can run this app either on a physical Android device or an Android emulator.

Option 1: Physical Device

1. Connect your Android phone via USB.
2. Enable Developer Options:
   • Open Settings → About Phone
   • Tap Build Number seven times.
3. Enable USB Debugging:
   • Go to Settings → Developer Options
   • Turn on USB Debugging.

Refer to React Native: Running on Device for detailed steps.

Option 2: Emulator

1. Open Android Studio
2. Go to More Actions → Virtual Device Manager
3. Click Create Virtual Device
4. Choose a device definition and click Next
5. Select a system image (API Level 34 recommended)
6. Configure AVD and click Finish

You can now launch the emulator and run your app.

For more details: Managing AVDs

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🚀 Running the Application

Follow these steps to start the app on your Android device or emulator:

1. Install dependencies

   npm install

2. Run npx react-native run-android in one terminal.
3. Run npx react-native start in another terminall.

🌟 Main Features Implemented

🗣️ Real-time Speech-to-Speech Translation (S2S)

• Enables instant voice translation between Hindi, Telugu, and English using Bhashini’s ASR and TTS models.
• Ideal for live interactions like taxis, directions, and emergencies.

🎧 Audio-to-Text Translation

• Converts spoken language (e.g., a local guide’s explanation) into translated Hindi text for better understanding.

📷 Optical Character Recognition (OCR) Translation

• Instantly scans and translates printed or handwritten Telugu text (menus, street signs, notices, prescriptions) into Hindi.

🌍 Multi-Scenario Usability

• Designed for transport, tourism, dining, and medical situations — ensuring seamless communication in real-world contexts.

📱 User-Friendly Interface

• Simple, mobile-first UI optimized for quick and stress-free use in dynamic environments.