Project Code

The hiring landscape is rapidly evolving, and Project Code is here to revolutionize recruitment. This web-based application simplifies the hiring process by enabling companies to conduct seamless, efficient, and fair online assessments. With advanced features like AI-powered question generation, cheat detection, and automated scoring, Project Code ensures a modern, scalable solution for recruitment challenges. 

Key Features:

1. Custom Assessments Made Simple: Effortlessly design tailored assessments that cater to the organization's specific hiring needs. From multiple-choice questions (MCQs) to coding challenges and subjective questions, Project Code provides an intuitive platform that supports diverse question types. 
2. AI-Powered Question Generation: Boost creativity and efficiency with generative AI tools that suggest innovative questions and generate coding test cases automatically. These AI-driven features save recruiters time while maintaining the quality and relevance of assessments. 
3. Advanced Cheat Detection: Maintain examination integrity with cutting-edge monitoring features. Facial landmark detection observes candidate focus, eye movement tracking identifies suspicious behavior, and background audio analysis flags unauthorized noise or conversations. 
4. Instant Scoring and Analytics: Say goodbye to manual grading with automated scoring features that instantly evaluate performance. Coding questions are analyzed for functionality using AI-generated test cases, while MCQs and subjective answers are scored based on predefined criteria. 
5. Easy Integration: Seamlessly integrate Project Code into your existing HR and recruitment systems using its robust API framework. Whether managing results, pulling reports, or synchronizing data, the platform ensures compatibility and adaptability to fit your unique workflow, enhancing operational efficiency across teams.
6. Role-Based Access: Facilitate collaboration by assigning role-specific permissions to team members. Allow managers to contribute questions, reviewers to approve content, and administrators to oversee assessments. This multi-layered access system improves efficiency and ensures accountability and security throughout the examination process.

Architecture

1. Facial Landmark Detection (Mediapipe):  This technology tracks facial points, such as eyes, nose, and mouth, to monitor candidate focus and detect unusual behavior during exams. It ensures candidates remain attentive and follow guidelines, maintaining the integrity of the proctoring process.
2. COCO SSD:  COCO SSD detects and identifies objects in the candidate's environment, such as electronic devices or unauthorized materials. This feature enhances exam security by flagging any suspicious items or activities in real-time.
3. Vertex AI: Vertex AI automates the creation of coding test cases, generating diverse scenarios to thoroughly evaluate a candidate’s coding solutions. This ensures comprehensive assessments of problem-solving skills while saving recruiters time in manual test preparation.
4. VAD (Voice Activity Detection): VAD monitors background audio to detect and flag prolonged or unauthorized voice activity during exams. This feature helps maintain a controlled and distraction-free testing environment, minimizing opportunities for cheating.
5. Randomized Question Algorithms: These algorithms generate unique question sets for each candidate, reducing the likelihood of question-sharing or collusion. By ensuring every assessment is different, the system upholds fairness and integrity across all exams.