Ranking Projects Platform

This project is open-source under the MIT license.

An open-source platform to evaluate, classify, and connect entrepreneurial projects using AI-assisted assessment, gamified rankings, and human feedback.

This project is designed to help hidden talent get discovered, uncover meaningful connections across large datasets, and create new opportunities beyond traditional “winner-takes-all” entrepreneurship programs.

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🎯 Project Vision

Entrepreneurship programs often focus only on top-ranked winners, leaving valuable ideas and talented people behind.

Ranking Projects takes a different approach:

• Provide instant, autonomous feedback on project quality
• Enable continuous improvement through rubric-based evaluation
• Combine AI analysis with human judgment (likes & comments)
• Reveal connections between projects and people, not just rankings

Talent is everywhere — this platform helps surface it.

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🚀 How It Works

1. User Registration

   • Participants create an account and register their project.

2. Project Description

   • Short project summary
   • Two PDF documents (e.g. business proposal, supporting material)
   • A video pitch

3. AI-Based Classification

   • The AI suggests the most suitable category for the project.

4. Rubric Evaluation

   • Each category has its own evaluation rubric.
   • Projects are scored automatically based on submitted materials.

5. Ranking & Visualization

   • Projects are positioned within a public ranking system.
   • Rankings update whenever the project is improved and re-evaluated.

6. Human Feedback Layer

   • Likes and comments introduce a social ranking dimension.
   • Recognizes contextual and human value beyond raw scores.

7. Talent & Project Connections

   • AI searches for meaningful connections across all projects.
   • Visual network representations help identify collaboration and opportunity.

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🧩 Key Features

• 🤖 AI-driven project classification
• 📊 Rubric-based autonomous evaluation
• 🎮 Gamified ranking system
• ❤️ Likes & comments for human insight
• 🧠 Data-driven talent & project matching
• 🌐 Visual network of connections
• 🔁 Continuous feedback loop for improvement

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🖥️ Live Demo

You can explore a sample dataset and see the ranking system in action here:

👉 https://www.workflowsimulator.com/rankingprojects/classification.html

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🎥 Video Presentation

A full walkthrough of the project concept and functionality:

▶️ https://youtu.be/5mn8k2-4ZSE

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🗂️ Project Structure

/
├── frontend/
│   └── HTML, CSS, Javascript
│
├── backend/
│   └── Python scripts implementing API endpoints
│
├── backend/
│   └── rankingprojects_structure.sql
│   │   └── Empty database schema
│   └── rankingprojects_sampledata.sql
│       └── Database populated with sample data
│
└── README.md

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🛠️ Tech Stack

Frontend

• HTML
• CSS
• JavaScript

Backend

• Python (API endpoints)

Database

• SQL (schema + sample data provided)

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🧪 Database Setup

1. Create a new database.

2. Import the structure:

   rankingprojects_structure.sql

3. (Optional) Load sample data:

   rankingprojects_sampledata.sql

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🧠 Use Cases

• Entrepreneurship accelerators
• Innovation programs
• Educational institutions
• Hackathons & incubators
• Talent discovery platforms
• Research on idea evaluation and clustering

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🔓 License

This project is released under the MIT License.

You are free to:

• Use it
• Modify it
• Adapt it to your own accelerator or program
• Build new insights from large collections of project data

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🤝 Contributing

Contributions are welcome!

You can help by:

• Improving evaluation rubrics
• Enhancing AI classification logic
• Extending visualization features
• Improving UI/UX
• Adding documentation or examples

Please open an issue or submit a pull request.

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🌱 Final Note

Not every great contributor is part of a winning team — but every ecosystem benefits when talent is visible, connected, and valued.

This project exists to make that possible.