We are proposing an individualized learning platform tailored for bridging the gap between higher education and market requirements with a focus on IT skills. At its core, Gefira is much more than an average GPT wrapper. 
It implements RAG on course materials uploaded by the user, that the system indexes, for a relevant and personalized experience. The system then detects the gap between the course materials and industry standards and tasks the user with creative real-world projects. It then serves as a smart assistant with code editing capabilities (Github MCP) or task access (e.g. HackTheBox MCP for cybersec).
In the background the system maintains a knowledge graph of the user's skills and offers smart proposals for new, connected skills, that could be relevant in the industry. It could also maintain the CV through Google Docs MCP. 
To reinforce and further motivate the user, we decided to add elements of gamification - a shiny badge for each new skill, a learning streak as well as luck based rewards for the extra dopamine kick. Another useful feature could be smart reminder notifications, motivating the user and reinforcing spaced repetition.
The implementation shouldn't be too complex, with modern AI tools serving as helpers. Key challenges would be to ensure a secure system and refining the provided suggestions in accordance with current market trends, as well as context management for the used LLMs. Another challenge could be system scaling. In addition, the system would require funding for all the APIs envisioned for usage. Furthermore, the system would need constant maintenance and would need to adjust to new LLMs that are coming out at a monthly pace.
This solution has the potential to make its users leave higher education as market-ready individuals in an interesting and modern way. Its success could be measured by the amount of jobs received by our clients in the ever-incerasingly difficult job landscape, in contrast to non-users.