AI Student Assessment Trainer Development

I need an AI-powered tool that helps students practise and evaluate their knowledge in a way that feels as close as possible to having a personal tutor. The core of the project is an adaptive assessment engine: students answer questions, the system gauges their strengths and gaps in real time, and each next question or exercise adjusts accordingly. I also want clear dashboards so they, or their teachers, can see progress at a glance.

At this stage the subject range and age group are flexible; I am open to recommendations on the best initial focus and how to scale to additional subjects later. Likewise, key extras such as automated feedback, progress tracking metrics, or full simulated exams can be prioritised once we have a proof-of-concept running smoothly.

What I need from you is the complete solution—from selecting or training the right model, through back-end logic and database design, to a simple front-end where students log in and start practising. If you have previous work building adaptive learning or ed-tech applications, please highlight it when you respond, along with the AI frameworks or libraries you prefer for this kind of job. I’m keen on a clean, well-documented codebase I can iterate on after launch, plus a brief hand-off session so I fully understand how to maintain and extend the system.