OBJECTIVE

FLUXOR aims to revoluƟonize file management by integraƟng arƟficial intelligence and machine
learning techniques. The project seeks to create a smart, intuiƟve, and efficient file organizaƟon
system for both personal and professional use, enhancing producƟvity and simplifying digital file
handling.

FEATURES

1. Basic file management tools (move, copy, delete, rename).
2. ML/DL implementaƟon for intelligent file renaming.
3. Content-based file sorƟng using AI algorithms.
4. Metadata-based file sorƟng (creaƟon Ɵme, file type, etc.).
5. Advanced image classificaƟon tool.
6. Online/Offline mode with API integraƟon for enhanced accuracy.
7. Work and personal/private modes for context-aware file management.
8. AI-powered document reader and query system.
9. File recommendaƟon system based on user behavior and file content.
10. Full-fledged Windows applicaƟon with an interacƟve, adapƟve UI.
11. Robust file analysis and reporƟng capabiliƟes.
12. Version control using Git.
13. CollaboraƟve features for team projects.

METHODOLOGY

The project will uƟlize the following technologies and approaches:
 Programming Languages: Python for backend, JavaScript for frontend.
 Frameworks: PySide/ PyQt for desktop applicaƟon development.
 Machine Learning: TensorFlow or PyTorch for AI/ML implementaƟons.
 APIs: IntegraƟon with cloud services and AI plaƞorms.
 Version Control: Git for collaboraƟve development.
 Development Approach: Agile methodology with two-week sprints.
 TesƟng: Pytest for Python, Jest for JavaScript, Selenium for UI tesƟng.

PROPOSED SYSTEM

FLUXOR is an intelligent file management system combining tradiƟonal file operaƟons with AIpowered features. Key components include:

1. Intelligent File OrganizaƟon Engine: Uses ML to analyze file content, metadata, and user
   behavior for opƟmal organizaƟon.
2. AI-Driven Content Analysis: Enables advanced search and categorizaƟon based on file
   content.
3. AdapƟve User Interface: Adjusts based on user behavior and preferences.
4. Secure MulƟ-Mode OperaƟon: Implements work and personal modes with robust security
   measures.
5. Smart Assistant and Query System: Incorporates NLP for understanding user queries about
   files and system operaƟons.

SCOPE

The scope of FLUXOR encompasses a wide range of file management tasks, from basic operaƟons to
advanced AI-driven features. It will handle local file systems and integrate with online services. The
project will focus on:

1. Developing a comprehensive file management system for Windows OS.
2. ImplemenƟng AI and ML algorithms for intelligent file operaƟons.
3. CreaƟng a user-friendly interface adaptable to various user needs.
4. IntegraƟng cloud services for enhanced funcƟonality.
5. Developing both online and offline modes.
6. ImplemenƟng work and personal modes for privacy and producƟvity.
   While iniƟally targeƟng Windows, the architecture will be designed with potenƟal cross-plaƞorm
   expansion in mind.

OUTCOMES

1. A funcƟonal Windows applicaƟon for intelligent file management
2. Implemented AI models for file classificaƟon and organizaƟon
3. Seamless integraƟon of online and offline funcƟonality
4. User-friendly interface with work and personal modes
5. Comprehensive documentaƟon and user guid