A comprehensive solution designed to bridge the language gap between schools and non-English speaking parents, enabling better understanding of student progress and parent-teacher communication.

Check out our demo: https://youtu.be/KTO2y-lEk9I

• Document Upload & Analysis: Parents can upload student transcripts and report cards
• Multilingual Q&A: Ask questions about student performance in your native language
• RAG-based System: Advanced retrieval-augmented generation for accurate information processing
• Real-time Translation: Seamless translation of educational documents and queries

• Real-time Recording: Capture parent-teacher conferences
• Automatic Transcription: Convert speech to text in real-time
• Multilingual Summaries: Get comprehensive meeting summaries in your preferred language
• Progress Tracking: Maintain a history of all conferences and feedback

• Framework: FastAPI & Flask
• AI/ML: OpenAI API, LangChain
• Database: ChromaDB for document storage
• Audio Processing: SpeechRecognition, pydub
• OCR: pytesseract for document text extraction
• Translation: deep-translator

• Framework: React with TypeScript
• UI Components: Modern, responsive design
• State Management: Efficient data handling
• Real-time Updates: WebSocket integration for live features

• Python 3.8+
• Node.js 16+
• OpenAI API key
• Virtual environment (recommended)

1. Clone the repository

git clone https://github.com/sidtum/SpeakLink.git
cd SpeakLink

2. Backend Setup

cd backend
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -r requirements.txt

3. Frontend Setup

cd frontend
npm install

4. Environment Configuration

• Create a .env file in the backend directory with:

OPENAI_API_KEY=your_api_key

1. Start the Backend

cd backend
python server.py

2. Start the Frontend

cd frontend
npm start

.
├── backend/
│   ├── services/        # Core business logic
│   ├── routes/          # API endpoints
│   ├── recordings/      # Conference recordings
│   ├── uploads/         # Document uploads
│   ├── chroma_db/       # Vector database
│   └── server.py        # Main application file
├── frontend/
│   ├── src/            # React components
│   ├── public/         # Static assets
│   └── package.json    # Frontend dependencies
└── requirements.txt    # Python dependencies