This is the frontend for AWSpeak, an AI-powered interview prep tool that simulates behavioral interviews using personas like Jeff Bezos. Built with Next.js, TypeScript, and Tailwind CSS.

• Next.js (App Router)

• React

• TypeScript

• Tailwind CSS

• Python 3.11

• Flask

• flask-cors

• boto3 (for AWS integration)

• pygame (for audio support)

• AWS S3 Bucket (audio file storage)

• AWS Polly (text to speech capabilities)

• AWS Transcribe (transcribe speech to text)

• AWS Bedrock (LLM connection to Claude 3.7 Sonnet)

1. Install dependencies
   From the frontend/ directory, run:

   npm install

2. Run the development server

   npm run dev

3. Open your browser at http://localhost:3000

frontend/
├── app/              # App router pages
├── components/       # Reusable UI components
├── public/           # Static assets
├── styles/           # Tailwind/global CSS
├── tsconfig.json     # TypeScript config
└── package.json      # Project dependencies

This is the backend for AWSpeak.AI, a Flask-based API that powers the AI interview simulator.

1. Create and activate virtual environment
   From the backend/ directory:

   /opt/homebrew/opt/python@3.11/bin/python3.11 -m venv venv
   source venv/bin/activate

2. Install dependencies

   pip install -r requirements.txt

3. Run the Flask server

   python app.py

4. The API will be available at:

   http://localhost:5000
   

backend/
├── app.py              # Flask app entrypoint
├── requirements.txt    # Python dependencies
├── venv/               # Virtual environment (ignored by Git)

• A .gitignore file is included in the project root to ignore:

  • node_modules/
  • backend/venv/
  • Python cache files
  • Next.js and build artifacts

• Always activate your virtual environment before running or installing Python packages:

  source backend/venv/bin/activate

Nhan Nguyen:

• Frontend working with Typescript
• Connected frontend to backend
• Tweak backend code to fix minor bugs

Tyler Doan:

• Integrated Bedrock, Polly, Transcribe
• Prompt Engineering for Claude 3.7 Sonnet
• Design and implementation of system architecture

Ethan Vo:

• Backend frontend interaction through API endpoints
• Setup workin environment
• Debug code
• Design and implementation of system architecture