Harvard Burger is a fun, voice-powered food ordering system that simulates a drive-through experience with an entertaining twist! Instead of a regular order-taker, you'll interact with an AI that has a quirky, funny personality. It uses voice detection and AI to transcribe, process, and fulfill orders, making the whole experience engaging and dynamic.

• Harvard Burger 🍔
  • Table of Contents
  • Inspiration
  • What It Does
  • How We Built It
  • Challenges We Ran Into
  • Accomplishments That We're Proud Of
  • What We Learned
  • What's Next for Harvard Burger
• How to Run
  • Prerequisites
  • Using Node and Python
    • Node
    • Python
  • Using Docker

We were inspired by the Smart Cities track and wanted to build something with direct utility—like ordering food—while keeping the interaction fun and playful. With Harvard Burger, we set out to bring a more engaging experience to the traditional drive-through by adding a humorous AI.

• Detects when you start and stop speaking.
• Uses AI to transcribe your voice input.
• Figures out what food items you want to order, including specific details like size and flavor.
• Generates audio responses with text-to-speech to confirm your order in an amusing way.

• Frontend: Built with React and TypeScript for handling the user interface.
• Backend: Powered by Flask and Python, managing the AI logic and order processing.
• Deployment: Containerized with Docker, deployed using Defang for cloud hosting.

• Integrating the frontend, backend, and AI systems to communicate smoothly.
• Ensuring seamless communication between different parts of the app after deployment.
• Fine-tuning the AI’s ability to accurately process order details while maintaining a fun, natural conversation.

• We successfully implemented all the key features we envisioned.
• We created a fully functional, deployed version of the app.
• Overcame technical hurdles in both communication between app components and cloud deployment.

• We refined our skills in React, TypeScript, Flask, and Python, especially in how they interact.
• Learned how to containerize and deploy apps using Docker and Docker Compose.
• Gained experience deploying to the cloud with Defang.

We plan to expand the app by adding a business-facing interface, allowing restaurants to view and fulfill customer orders directly. This will turn Harvard Burger into a practical tool for restaurants, beyond just a fun hackathon project.

• Node
• Python
  • openai
  • flask
  • python-dotenv

or

• Docker

The first option to running locally is running using node and desktop.

git clone https://github.com/GrantDeWaay/HackHarvard2024
cd HackHarvard2024

cd frontend
npm install
npm start

cd backen
python main.py

docker compose up

navigate to http://localhost:3000/