Speak and Translate All

💡 Project Idea

The core idea was to build a multifunctional translation app that allows users to translate text, speech, and images across a wide range of global languages. The goal was to provide real-time language support for travelers, business users, and multilingual learners in a single, unified platform.

🧾 Client Requirements

The client requested:

• Real-time voice-to-voice translation
• Text, photo, and camera-based translation
• Integration of a multilingual dictionary
• Clean, modern UI with offline support for core languages
• Completion within 10–12 weeks
• Target platform: Android + iOS (future web version optional)

📄 Documentation & Planning

Functional and technical documentation covered:

• Use cases: Travel, education, business, daily use
• Language support: Google Translate API, ML Kit (OCR)
• Features: Image-to-text conversion, translation caching, voice detection
• Permissions & privacy: Microphone, camera, and storage access
  Languages Used: Dart (Flutter), native Kotlin/Swift for platform-level integration

🎨 UI/UX Design

Designed in Figma, focused on accessibility and speed.

• Minimalist layout with a global-friendly theme
• Tabs for Voice, Text, Camera, Photo, and History
• Smart feedback, mic input button, auto-detection, and dark mode

⚙️ Development

Tech Stack:

• Flutter (Dart) for cross-platform codebase
• Google ML Kit (Text Recognition, Translation)
• Google Translate API + TTS/STT APIs
• Firebase (Cloud Functions, Analytics, Crashlytics)

Libraries Used:

• google_mlkit_translation for camera and photo translation
• speech_to_text & flutter_tts for voice functionality
• image_picker & camera for importing and snapping images
• translator for text input translation
• hive for storing translation history

Core Features Developed:

• Voice-to-Voice and Voice-to-Text Translator
• Camera-based OCR Translation
• Import Image/Text from Gallery for Translation
• Full Dictionary Access (word definitions, synonyms, antonyms)
• Translation History Storage & Management

🧪 Quality Assurance

Extensive testing across Android & iOS devices:

• Voice accuracy, OCR recognition, translation speed
• UI responsiveness and dark mode checks
• Offline fallback behavior for saved translations
  Fixed Bugs:
• API response delays
• OCR failing on handwritten text
• TTS mispronunciation in a few languages

📲 Publish Platforms

• Android (Play Store)
• iOS (App Store)
• Web version in future roadmap
  App UI/UX adapted for both smartphone and tablet layouts.

⚠️ Key Challenges

• Managing translation accuracy across 100+ languages
• Image-to-text OCR for different fonts and lighting conditions
• Efficient voice detection in noisy environments
• Handling slow API responses in low-network areas
• API quota and cost management for cloud-based services

⏳ Development Timeline

Total Time: ~10 Weeks

• Weeks 1–2: UI/UX Design + Feature Planning
• Weeks 3–6: Feature Development (Voice, Text, Camera, Image)
• Week 7: Dictionary Integration + History
• Week 8: Testing + Bug Fixes
• Week 9: Optimization (performance, cache, offline modes)
• Week 10: Final QA + Play Store / App Store Deployment

💰 Estimated Cost & Server Planning

• Cloud APIs Used: Google Translate, ML Kit OCR
• Server Cost:
  • Minimal backend needs (Firebase only)
• Optimization:
  • Limited API calls through caching
  • Optional offline translation for selected languages
    Total Estimated Cost: $800 – $950 (including development + cloud services)
  • 📲 Download Now on Play Store