Following is the Technology Stack of our project:

Frontend (Mobile Application)

• Flutter (Dart, latest version) – Used for developing a cross-platform mobile app that runs on both Android and iOS.

• Android Studio – Primary IDE for development and debugging.

Authentication & Database

• Google Firebase Authentication – Enables biometric login and user authentication.

• Firebase Firestore / Realtime Database – Stores user details such as name, email ID, and user type (visually impaired or helper).

Currency Detection

• TensorFlow Lite / OpenCV (latest version) – ML-based currency detection for recognizing different denominations.

• Camera Plugin for Flutter – Captures images for currency recognition.

AI-Powered Voice Assistant

• GPT API (OpenAI or alternative free API) – Provides natural language processing (NLP) for the AI chatbot.

• Speech-to-Text & Text-to-Speech (Google Speech API / Flutter plugins) – Converts spoken words into text and vice versa.

Navigation Helper via Video Calls

• Jitsi Meet SDK (latest version) – Enables secure peer-to-peer video calls.

Hosting & Backend Infrastructure

• Google Cloud / Firebase Hosting – Handles cloud-based services and API interactions.

Development & Deployment Tools

• GitHub / GitHub Actions – CI/CD pipeline for automating testing and deployment.

• Planned : Fastlane – Automates deployment to the Google Play Store and Apple App Store.

Testing & Monitoring

• CircleCI – Automates build, test, and deployment workflows.