Scalable Exam Integrity
Powered by AI
Mithril partnered with Swabhav Techlabs to integrate AI-driven proctoring into its LMS—transforming remote exams from manual monitoring to a secure, scalable, and cost-efficient system.
AI proctoring reduced operational costs, improved exam integrity, and enabled Mithril to scale recruitment assessments without increasing human oversight.
Mithril LMS integration
Computer Vision (YOLO-based detection) ️
Real-time video stream processing ️
Cloud-based backend & APIs
Secure data handling & audit logs Key Services
Make remote recruitment exams as trustworthy as in-person assessments—without the cost and complexity.
As remote hiring became mainstream, exam integrity emerged as a critical risk. Traditional proctoring models required large numbers of human invigilators, making them expensive, difficult to scale, and operationally fragile during peak hiring cycles.
Mithril’s vision was to:
- Maintain high exam integrity
- Reduce dependency on manual proctoring
- Scale assessments during peak recruitment
- Stay compliant with privacy and data regulations
Business Impact
1 : 100
Proctor-to-candidate
ratio
(vs. 1 : 15 in traditional proctoring)
92%
Detection
accuracy
(reliable identification of violations with low false positives)
75% Reduction
in proctoring
costs
(cost per candidate reduced to under $0.5)
High
Scalability
.
Supports large recruitment volumes with minimal latency
An AI-driven proctoring system embedded into Mithril’s LMS that monitors identity, objects, and behavior in real time at scale.
Addressing Core Challenges
Before AI proctoring:
- High risk of malpractice in remote exams
- Proctor-to-candidate ratios limited scalability
- High operational cost per candidate
- Inconsistent monitoring across devices and bandwidths
Swabhav addressed these challenges by integrating an AI engine powered by YOLO (You Only Look Once) a real-time object detection model optimized for speed and accuracy.
Identity & Object Detection
AI continuously detects identity mismatches and prohibited items (phones, books, notes) during exams using real-time object detection.
Behavioral Monitoring
Single-shot regression learning tracks gaze and head movement to flag suspicious behavior such as repeated off-screen looking.
Centralized Proctor Dashboard
A single proctor can monitor multiple candidates simultaneously, with AI-generated alerts highlighting only high-risk cases.
Privacy & Compliance Guardrails
Multi-layer authentication, encryption, and controlled data handling ensure compliance with data privacy regulations.
Secure remote exams without scaling cost or risk.
Build AI-first assessment systems that enterprises trust.
