Lab Equipment Booking System

Oscilloscopes, 3D printers and GPU workstations are shared across hundreds of students, yet most labs still run on a paper register at the lab door — first-come chaos, no-shows wasting prime slots, double-bookings, and no record of who damaged what. Expensive instruments also need protection: training prerequisites, supervision rules and usage limits that a register cannot enforce. This project builds a lab equipment booking system: each instrument has a bookable calendar governed by its policy, high-risk equipment routes through approval or verified-training checks, check-ins confirm real usage, and repeated no-shows suspend booking rights. Utilization analytics show lab in-charges exactly how instruments are used.

1. Lab staff register instruments with specifications, location, unit count, status and a booking policy.
2. Students browse live availability and book slots; the allocation is transactional so concurrent requests cannot double-book.
3. Restricted instruments route the request through an approval queue (faculty sign-off or training verification).
4. The student checks in at the lab (kiosk or phone); unclaimed slots auto-release after the grace period.
5. Damage or issues are reported against the booking, creating a maintenance trail tied to the user.
6. No-shows accumulate per the penalty policy, and utilization dashboards update for the lab in-charge.

Tech stack:

• Python (Django/Flask) or Node.js backend
• PostgreSQL/MySQL relational database
• HTML5, CSS3, JavaScript (kiosk-friendly frontend)
• Transactional slot allocation
• Approval workflow engine
• Background scheduler (releases, penalties)
• Email/SMS confirmations and reminders
• QR codes linking instruments to booking pages

• [Searchable instrument inventory] Specs, location, unit count and live status (available, in use, maintenance) with filters by lab and category.
• [Policy-based slot booking] Per-instrument rules: slot length, max hours per day, advance-booking window and approval requirements.
• [Approval workflows] Restricted equipment (VNA, high-power rigs) needs faculty approval or verified training completion before booking.
• [Transactional allocation] Concurrent bookings for the same slot resolve to exactly one holder — double-booking is impossible.
• [Check-in and no-show engine] Unclaimed slots release after a grace period; repeated no-shows trigger booking suspensions.
• [Damage reporting] Issues logged against the booking create an accountability trail for maintenance.
• [Utilization dashboards] Peak hours, most-booked instruments and repeat-offender lists for lab in-charges.

• Complete booking system source code (student, assistant, in-charge interfaces)
• Database schema and migration scripts
• Policy engine for per-instrument booking rules
• Approval workflow implementation
• Utilization analytics dashboards
• QR-code instrument page linking
• Setup and deployment guide
• Concurrency test script for the buyer to verify no-double-booking behavior
• Project report PDF (background, reservation design, policy model, methodology)
• PPT presentation for final review
• Viva Q&A preparation document (transactions, workflows, scheduling, access control)

• The system governs bookings; physical supervision of dangerous equipment still needs lab staff present.
• Training verification depends on records the lab maintains — the system enforces prerequisites, it does not conduct training.
• Penalty policies (suspension lengths, grace periods) are configured by the lab, not decided by the software.
• QR check-in assumes students carry phones; kiosk mode needs a lab PC or tablet.
• IoT interlocks (instrument powers on only for the booked user) are future scope.
• Usage-meter billing for consumables is future scope.