[FEAT_REQ] Investigate and Design Web-Based Deployment for ReproModel with Flow Diagram

[tomonarifeehan]

Is your feature request related to a problem? Please describe.
Currently, ReproModel requires the backend and frontend to be deployed locally, which limits accessibility and usability for the broader AI research community. Users need to have technical expertise to set up the system, which can hinder adoption and reduce the overall impact of ReproModel’s capabilities. A centralized, web-accessible solution would enable researchers to easily access ReproModel’s features without complex local deployments.

Describe the solution you'd like
Investigate and design a system architecture that allows ReproModel to be deployed as a web application accessible to users via the internet. The solution should involve creating a detailed flow diagram that outlines:

• Frontend and Backend Integration: How the existing components will interact when deployed on a web server.
• Hosting Environment: Evaluate potential hosting environments (e.g., cloud providers like AWS, Google Cloud, or Azure) that can support the necessary backend services, frontend UI, and storage for experiments and data.
• User Authentication and Data Management: Plan for secure user authentication, data handling, and storage to maintain user privacy and data integrity.
• Scalability and Performance: Ensure that the proposed system can scale to handle multiple concurrent users and large datasets efficiently.
• Deployment Pipeline: Define a streamlined CI/CD pipeline to deploy updates and maintain the web application.
• The outcome should include a comprehensive flow diagram with key components, data flow, and interactions between frontend, backend, and external services.

Describe alternatives you’ve considered
Continue requiring local deployment but provide detailed setup guides and containerization (Docker) to simplify the process, though this still requires significant user effort and does not fully eliminate setup barriers.
Creating desktop-based installers, which would offer some ease of use but still limit accessibility compared to a web-based solution.

Additional context
Deploying ReproModel as a web-based tool will significantly enhance accessibility, making it easier for researchers to use, share, and contribute to the platform. This transformation will align with ReproModel’s mission to streamline AI research and allow faster experimentation and validation of AI models. Below are some references to existing platforms with similar architectures that could serve as inspiration for the deployment design.