002 — CASE STUDY
GAP FINDER
AI AGENT FOR EDUCATION
Gap Finder is an AI-powered teaching assistant that helps teachers identify learning gaps from student quiz data and generate differentiated re-teaching plans.
The pROBLEM
Teachers can collect a large amount of student performance data, but manually analyzing that data takes time. A quiz might tell a teacher that a student got an answer wrong, but it doesn't immediately explain:
Why are they struggling?
Teachers need to identify patterns across students, subjects, and concepts before deciding how to reteach the material.
tHE solution
Gap Finder allows teachers to upload quiz results and uses AI to analyze student performance.The system identifies common misconceptions and learning gaps, then generates targeted re-teaching recommendations.
Workflow
UPLOAD QUIZ DATA → ANALYZE PERFORMANCE → IDENTIFY GAPS → GENERATE INSIGHTS → CREATE RE-TEACHING PLAN
Key Features
CSV quiz upload
Automated performance analysis
Misconception detection
Learning-gap identification
AI-generated insights
Differentiated re-teaching plans
Teacher-friendly reports
MY ROLE
I designed the product concept and worked on the AI workflow, system architecture, user experience, and application development.
tECHNOLOGY
Python · AI Agents · Data Analysis · LLMs · Web Application
Outcome
Gap Finder explores how AI can move beyond simply analyzing data and instead help teachers turn student data into actionable teaching decisions.
Key takeaway:
The real value of educational AI isn't more data — it's better decisions from the data.
AI AGENTS / EDUCATION / DATA ANALYSIS
