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Artificial Intelligence
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₹4,900₹5,999
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Artificial Intelligence · Capstone
AI Interview Proctoring System
Monitors online interviews and hands the interviewer a report
5-6 weeks build
Overview
Built for one-to-one hiring interviews rather than exams. With the candidate's consent, the browser tracks face count, gaze direction, tab and window switches, and whether a second voice is speaking. Events are timestamped against the interview recording, and the interviewer gets a timeline report with clips to review; nothing is scored as cheating automatically.
What makes it stand up
- 01Candidate consent screen before any monitoring starts
- 02Multiple-face and gaze-away detection from the webcam
- 03Second-speaker detection from the microphone stream
- 04Tab-switch and focus-loss events captured in the browser
- 05Timeline report for the interviewer with reviewable clips
Module breakdown
- 01
Interview room
React client with webcam, mic and consent flow.
- 02
Vision checks
Face count and gaze estimation with MediaPipe.
- 03
Audio checks
Voice activity and speaker-change detection.
- 04
Event service
FastAPI ingestion of timestamped events.
- 05
Interviewer report
Timeline, flagged moments and clip playback.
After this, you will be able to
- Explain how gaze is estimated from face landmarks
- Defend why the system flags rather than judges
- Demo a mock interview producing a timeline report
Technology stack
- Python
- MediaPipe
- OpenCV
- FastAPI
- React
- MongoDB
- Level
- Capstone
- Domain
- Artificial Intelligence
- Build time
- 5-6 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support