V3 PeerEd

Transforming Medical Education Through AI & Peer Learning. Learn by Thinking. Improve by Teaching A smart digital platform for modern medical training with AI-powered assessments, Virtual OSCE practice, Peer-driven learning and Data-driven insights.

Key Features

AI-Powered Content Creation Students build MCQs while AI flags flaws and validates quality for faculty banks.
Virtual OSCE Patients Scalable, 24/7 history-taking and diagnostic practice without the cost or logistics of standardized patients.
Gamified Assessment & Analytics Gamified team competitions paired with deep data insights to track and refine mastery.
For Students: Practice exam-style MCQs & OSCEs
For Students: Build clinical reasoning
For Students: Learn collaboratively
For Students: Reduce exam stress
For Students: Panoramic view Improve performance
For Teachers: Reduced workload For Teachers
For Teachers: AI-validated MCQs
For Teachers: Reliable assessments
For Teachers: Data-driven insights
For Teachers: Panoramic view Centralized MCQ bank

Technical Specifications

Specification	Detail
RF Front-End:	ANTSDR-Based RF Signal Acquisition
SDR Platform:	ANTSDR Operating Bands: 2.4 GHz & 5.8 GHz ISM (configurable)
Sensing Mode:	Passive RF monitoring
Target Signals:	UAV command, control, and telemetry links
Signal Processing & AI Input Data:	RF IQ samples
Feature Representation:	Spectrogram / STFT / Frequency-domain images
AI Model:	YOLO (configurable version)
Detection Task:	UAV presence and class recognition Performance
Operational Environment:	Dense urban RF spectrum

Core System Benefits

Bridges learning & assessment Turns students into contributors Improves exam reliability Scales without extra resources Enhances teaching efficiency Saves Time & Resources Secure & Reliable Platform.

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