VeldAI is a fictional yet functional platform built using Flask, HTML, CSS, and JavaScript. It aims to connect data providers, labelers, and companies seeking annotated datasets. Whether you're looking to profit from unused data, earn money labeling data, or access high-quality labeled datasets for AI development — VeldAI bridges those needs.
Live Preview: https://veldai-first-try.onrender.com/
VeldAI simulates a modern data marketplace and labeling platform:
- For Clients: Upload raw data to get it labeled, or browse ready-to-use datasets.
- For Labelers: Join the platform and earn money by tagging and annotating data.
- For Data Owners: Monetize your image, text, or video datasets securely.
- Frontend: HTML, CSS, JavaScript
- Backend: Python, Flask
- Deployment: Render
- Interactive landing page
- Navigation through roles: Labeler, Data Provider, Client
- Data-type explanations (Images, Text, Video)
- CTA sections for joining or submitting data
- Social links and contact areas
- Fully styled UI using custom CSS with Google Fonts and Font Awesome
- Labeler interface (in development)
- Clone the repo
git clone https://github.com/Arts-HCS/veldai-data-platform.git cd veldai-data-platform
- Create and activate a virtual environment
python3 -m venv venv source venv/bin/activate
- Install dependencies
pip install -r requirements.txt
- Run the Flask app
flask run
- Open your browser and go to: http://127.0.0.1:5000/
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Client dashboard
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Dataset submission form
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Admin panel
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Payments and analytics mockups
