I will develop ai based exam cheating detection with yolov11 lstm


About this gig
I will develop a revolutionary AI-powered exam cheating detection system using YOLOv11 and LSTM, designed to transform academic integrity in educational institutions.
This cutting-edge solution offers:
Real-Time Cheating Detection with over 95% accuracy
Advanced Behavioral Analysis powered by LSTM and heatmap visualizations
Multi-Angle Monitoring for full exam hall coverage
Smart Alerts and instant visual indicators
Research-Ready Outputs including charts, timelines, and statistical metrics
Whether you're building an academic surveillance system or conducting research, this AI model is ideal for:
Universities & Schools
Certification Bodies
Online Learning Platforms
Research Institutions
Enhance transparency, reduce human bias, and enable data-driven academic decisions all with one intelligent system.
Get to know Faisalkhan
Computer Vision AI Expert
- FromPakistan
- Member sinceJul 2025
- Avg. response time1 hour
- Last delivery10 months
Languages
English, Urdu, Arabic
My Portfolio
Other Software Development Services I Offer
FAQ
Q1: What technologies do you use in the cheating detection system?
I use state-of-the-art models like YOLOv11 for real-time object detection and LSTM (Long Short-Term Memory) networks for behavior classification. The system is powered by Ultralytics and Python-based AI frameworks
Q2: Can this system detect hidden devices or unusual student behavior?
Yes, it can detect unauthorized objects (e.g., phones, earbuds) and suspicious movements using object detection and pose analysis. It also tracks behavior patterns for deeper analysis
Q3: Do you provide a live demo or working prototype?
Yes, depending on the package selected. The Standard and Premium packages include a live demo or simulation video showcasing how the system works in a real-time exam environment

