Anagnorisis is a comprehensive local data-management platform designed to empower users with a personalizable recommendation system. This innovative solution allows individuals to fine-tune machine learning models based on their unique data preferences, ensuring that all personal information is securely stored and processed on the user's own computer, eliminating concerns about data privacy.

Key Features

• Local Data Storage: Ensures that all data is kept private, securely stored and processed locally.
• Personalizable Recommendations: Users can rate various types of data—including text, audio, images, and video—on a scale from 0 to 10. The application learns from these ratings to personalize recommendations more accurately over time.
• User-Centric Model Training: The intuitive workflow involves training the model to predict preferences based on user input, continually refining the recommendations for better alignment with user tastes.

Technological Foundations

The project leverages powerful frameworks and libraries:

• Backend: Built on Flask
• Frontend: Utilizes the Bulma CSS framework for a responsive design.
• Machine Learning: Implements advanced methodologies using Transformers and PyTorch, creating a robust ML environment suitable for diverse applications.

Modules

Music Module: Watch a detailed presentation here and explore the technical algorithm in the Music wiki.

Images Module: Discover the functionality through a demo video here and access the user guide in the Images wiki.

Text Module and Video Module are yet under developmet stage.

Getting Started

For optimal performance, the project is ideally run using Docker, which offers stability, especially for Windows users. Clear steps for setting up and executing the application are provided in the repository. In addition, instructions for manual installation in a local environment cater to users who prefer that route.

Community and Further Learning

Explore the project's philosophy and roadmap through these informative articles:

• Anagnorisis. Part 1: A Vision for Better Information Management
• Anagnorisis. Part 2: The Music Recommendation Algorithm
• Anagnorisis. Part 3: Why Should You Go Local?

Conclusion

Anagnorisis stands out as a powerful tool for anyone seeking to enhance their information management capabilities while maintaining full control over their data. With flexible features, robust technology, and an active community, this project offers immense potential for personal and organizational use.