An AI-Powered Skill-Forging Platform for Adaptive Learning
Talosopolis is a next-generation education platform designed to provide truly personalized learning pathways. We combine modern AI capabilities with a robust data architecture to ensure every student masters essential concepts before moving forward.
- Adaptive Content Generation: Utilize Generative AI to dynamically adjust learning material complexity to the student's proficiency level.
- Skill-Tree Mapping: Visualize progress through complex topics, identifying core competencies and knowledge gaps instantly.
- Performance Analytics: Deep insights into student speed, confidence, and accuracy to inform personalized instruction.
- Modern Web Architecture: Built for scale, speed, and reliability using the Next.js framework.
- Frontend: Next.js, TypeScript, React
- Backend: [Mention your current server/API (e.g., custom Node.js API, Serverless Functions)]
- Database: [Mention your database (e.g., PostgreSQL, Firebase, MongoDB)]
- Deployment: Docker, [Mention your hosting provider (e.g., Vercel, Firebase Hosting)]
- Node.js (v18+)
- npm or yarn
- Clone the repository:
git clone [https://github.com/The-Promethean-Society/Skillforge_prime.git](https://github.com/The-Promethean-Society/Skillforge_prime.git) cd Skillforge_prime - Install dependencies:
npm install # or yarn install - Set up Environment Variables:
Create a
.env.localfile based on.env.exampleand fill in the necessary keys (e.g., database connection, API keys). - Run the development server:
npm run dev # or yarn dev
Open your browser to http://localhost:3000 to see the result.
This project is released under the MIT License.
For information regarding the conceptual inspiration and history of this project, please refer to the dedicated ATTRIBUTION.md file.
We welcome contributions! Please see the CONTRIBUTIONS.md file for guidelines on how to submit issues and pull requests.