Facial Recognition Attendance Final Year Project

• Admin dashboard for this final year project with attendance overview and management access
• Admin profile and password change
• System settings for college name, attendance time window, minimum attendance percentage, face threshold, and duplicate cooldown
• Department, course, semester, and class section CRUD
• Subject management linked to course, semester, and optional class section
• Faculty account create, edit, activate/deactivate
• Faculty assignment to subject and class section
• Student create, edit, activate/deactivate, and delete
• Student roll number, username, password, email, mobile, and class section management
• Face enrollment image upload
• Student embedding re-encoding
• Face dataset view, regenerate embeddings, and delete embedding
• Attendance grid with filters
• Manual attendance add, edit, and delete
• Daily, monthly, subject, student, class, and defaulter reports
• Bulk attendance export as CSV
• Notice create, edit, and delete

• Student login in this final year project using roll number or portal username
• Student dashboard with today’s attendance, stats, recent activity, notices, and enrollment summary
• Personal attendance history with date filters
• Daily detail, subject-wise, and monthly attendance tabs
• CSV downloads for personal, subject, and monthly attendance
• College, department, and faculty notices
• Camera-based attendance marking through /student/mark
• Recognition-only mark attendance route without login where implemented
• Read-only enrollment identity
• Contact update with email and mobile
• Password update with minimum length rule
• Face registration refresh request with optional note
• Withdraw pending face update request
• Help and troubleshooting page

• Faculty dashboard in this final year project with scoped class metrics and notices
• My classes listing based on faculty assignments
• Class detail view for assigned sections/subjects
• Camera-based face attendance for assigned scope
• Manual attendance for assigned subject and section
• Correct mistaken attendance where permitted
• Filterable attendance view
• Class, subject, and student percentage reports
• CSV/XLSX export links where implemented
• Faculty-visible notices
• Face update request review
• Faculty profile update with email, mobile, and optional password change
• Public landing page included in this final year project
• /api/mark endpoint for base64 camera image attendance marking
• SQLite database with lightweight migrations
• Face snapshots stored after successful marks
• Mean embedding files stored as .npy per student
• Required folders auto-created at runtime
• Bootstrap 5 and Bootstrap Icons UI
• Optional seed data with Indian-style college demo records
• Seed force option for resetting academic demo data
• Suitable for final year project demo, viva, source code review, and report preparation
• Educational disclaimer included for face recognition accuracy and production limitations

• Open the final year project folder.
• Create a virtual environment:
  python -m venv .venv
• Activate the environment:
  • Windows: .venv\Scripts\activate
  • macOS/Linux: source .venv/bin/activate
• Install dependencies:
  pip install -r requirements.txt
• Optional: seed demo data:
  python seed.py
• To reset academic demo rows and embeddings, use only when needed:
  python seed.py --force
• Upload face enrollment photos from Admin → Students if camera recognition should work.
• Start the final year Flask project:
  python app.py
• Open:
  http://127.0.0.1:5000
• Use localhost or HTTPS so browser camera access works.

Administrator

• Username: admin
• Password: admin123

Faculty after seed

• adesai / faculty123
• rverma / faculty123

Student after seed

• Example roll number: BEC24CS001
• Example username: priya.sharma
• Password: student123
• Seed includes eight demo students: BEC24CS001 to BEC24CS008