ExamGenius AI

Dashboard
Exam Configuration
Visual Classroom
Faculty Allocation
Analytics
Educational Impact
Global Search
Report and export

Inspiration

Manual exam management is slow, error-prone, and unfair. Spreadsheets don't scale. We used AI to automate student seating, room allocation, and faculty assignment.

What it does

Desktop app using K-Means clustering to automatically generate fair exam plans. Handles 2,500+ students across departments, batches, and shifts in seconds.

How we built it

Python + Tkinter (GUI)
scikit-learn (K-Means, StandardScaler)
pandas, numpy (data)
matplotlib (charts)
openpyxl (Excel) Pipeline: Data → Encoding → Scaling → K-Means → Seating → Faculty → Reports ## Challenges
Finding optimal domain/batch features for clustering
Managing rooms with different capacities across shifts
Matching faculty to all domains in each room
Making interactive seat grid responsive ## Accomplishments
Complete exam plan in one click
Visual classroom with clickable seats
AI insights with confidence scores (97%+)
4 export formats (PDF, Excel, CSV, TXT)
Global search across all data ## What we learned
K-Means groups students effectively with good features
Encoding + scaling improves clustering dramatically
UI/UX makes AI feel simple
Real problems can be solved with accessible AI