LaundryProgress

LaundryProgress is a smart, AI-powered solution that helps users track the availability of laundry machines in real time. Built using the powerful llama3-11b-vision model, the application processes visual inputs to detect open laundry machines and provides up-to-date statuses.

🚀 Features

• AI-Powered Machine Detection: Utilizes llama3-11b-vision to process live images and detect available laundry machines.
• Real-Time Updates: Get live updates on the status of machines to avoid unnecessary trips.
• User-Friendly Interface: Simple and intuitive UI to monitor multiple machines at once.
• Flexible Integration: Easily integrate with external APIs for laundry management services.

🧰 Tech Stack

• Backend: Python, FastAPI
• AI Model: llama3-11b-vision Groq
• Frontend: React, Next.js
• Database: Supbabase
• Cloud Hosting: Vercel (API), Vercel (Frontend)

💡 How It Works

1. Machine Monitoring: The application relies on users to capture images of laundry machines.
2. AI Processing: llama3-11b-vision processes the images, detecting whether a machine is open or in use.
3. Live Status Display: The results are displayed on the frontend, showing available machines to users.
4. External API Fetching: You can integrate the app with APIs like process.env.WASH_API_URL/machines/all to fetch additional data about the laundry machines.

🌐 Live Demo

Check out the live demo: LaundryProgress

🛠️ Setup

1. Clone the repositories:

   git clone https://github.com/Sslithercode/laundryprogress.git
   git clone https://github.com/Sslithercode/laundry_api.git
   

2. Set enviornment variables either run the api on localhost and set WASH_API_URL to localhost or deploy it set a groq api key

3. Run either npm run dev for dev or deploy to Vercel