Keep the conversation central
Chat is the quickest way to ask for help. Structured workspaces provide a separate place to inspect plans, practice, and recorded progress.
AI systems2026
ESC.
A clearer next step in learning.
An adaptive study companion connecting questions, specialist help, practice, and personalised study plans in one workspace.
- MY CONTRIBUTION
- Product development & adaptive learning workflows
- CONTEXT
- Hack & Jam project
- STATUS
- Working prototype
01THE PROBLEM
What needed solving?
Studying often means switching between a chatbot, notes, practice questions, and a planner. ESC brings those activities into a connected flow, so a question leads to useful practice and a plan for what comes next.
02MY CONTRIBUTION
Where I came in.
I worked on the personalised learning experience: combining performance signals with topic-level guidance and relevant resources. The application includes conversational assistance, a specialist studio, and an adaptive learning workspace.
03KEY DECISIONS
The thinking behind it.
Connect practice to planning
Assessment results inform topic mastery and the next study plan. Deterministic scoring keeps recorded performance separate from generated explanations.
Make sources visible
Uploaded material and web research provide context for specialist responses. Source visibility supports review; it is not a guarantee of accuracy.
04OUTCOME & NEXT STEPS
Built. Learned.
Still improving.
Runner-up at Hack & Jam, Anjuman College of Engineering and Technology, on 2 August 2026. The event’s community partner was GDG Nagpur.
Where it stands today
Actively developed prototype. A September local audit found live generation unavailable in that environment; provider reliability and complete export testing remain ongoing work.
What comes next
Connect the source library, practice tools, and saved plans more consistently, and improve reliable generation.