The main problem the students is solving here is the lack of effective training methods for aspiring Senior Frontend Developers. This lack can manifest in several ways:

• Inefficient learning paths: Traditional learning might not adapt to individual needs or provide a clear path towards job readiness.
• Limited practical experience: Trainees may struggle to find opportunities to apply their skills to real-world projects.
• Inaccessible mentorship: Quality mentorship from experienced developers might be expensive or difficult to find.
• Unengaging learning experience: Traditional methods might be dry and lack the motivation to keep students engaged.

By building the AI-powered LMS, the students will be creating a solution that addresses these issues by:

• Personalizing learning: AI can track progress and tailor the curriculum to each student's needs.
• Providing practical experience: Project-based learning simulates real-world scenarios.
• Scaling mentorship: The platform can connect students with mentors globally at an affordable cost.
• Gamifying the experience: Blockchain and gamification elements can make learning more engaging and fun.

The students are expected to deliver:

• A detailed document analyzing the strengths and weaknesses of current software development training methods used in traditional educational institutions and bootcamps.
• Source code for the AI system, including scripts for data processing, model training, and integration with the LMS.
• Detailed explanations/documentation of how the AI tracks student progress and personalizes learning paths.
• Documentation of how each API is used, including endpoints, request/response formats, and authentication methods.

The key activities on the project includes:

1.Development and Integration:

• Analyze the existing software development training methods in traditional educational institutions, bootcamps.
• AI System Development: Build and integrate an AI system that can track student progress, automate tasks, and personalize learning paths. This will involve working with machine learning algorithms and data analysis techniques.
• Platform Development: Develop the core functionalities of the LMS platform, including user interfaces, student dashboards, project management tools, and communication features.
• API Integration: Depending on the chosen functionalities, the candidate might need to integrate with third-party APIs for services like video conferencing or project management tools.

2. User Experience Design:

• Interface Design: Design user-friendly and intuitive interfaces for students, mentors, and the AI system to interact with the platform seamlessly.
• Gamification Design: Develop a gamification system that incorporates elements like points, badges, and leaderboards to enhance user engagement and motivation.
• Responsive Design: Ensure the platform is responsive and functions well across various devices, from desktops to mobile phones.

3. Testing and Deployment:

• Rigorous Testing: Implement thorough testing procedures to ensure all functionalities of the LMS work as intended and the platform is free of bugs.
• Deployment and Maintenance: Deploy the LMS platform and maintain its functionality, addressing any issues that arise after launch.

Students will receive support through weekly check-ins, and daily office hours, alongside guest lectures from industry experts.

Students will have access to essential tools like cloud-based IDEs, software licenses, and GitHub for version control, as well as curated data sets, necessary APIs, and sandbox environments for safe experimentation.

Comprehensive training resources, including tutorials will be provided, along with task management tools, and detailed instructions.

Peer review sessions will ensure high-quality outcomes, while clear documentation guidelines.