Built to order

Hostel Complaint and Redressal Portal

This project builds a ticketing portal for hostel issues — plumbing, electrical, mess, water, Wi-Fi — where students raise complaints with photos, each ticket carries a category-wise SLA deadline, overdue tickets auto-escalate to the warden, and closure requires the resident's confirmation. A warden dashboard shows ticket volumes, SLA compliance by maintenance team and escalation lists. Suitable for B.E./B.Tech final-year projects in Computer Science, IT and Web Development.

Hostel Complaint and Redressal Portal — project thumbnail preview
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The problem

Hostel complaints today travel by word of mouth: a student tells the warden, the warden calls a contractor, and nobody knows whether the leaking tap was ever fixed. Repeat complaints, lost follow-ups and zero accountability are the norm, while urgent issues like water outages compete with trivia for attention. This project builds a proper redressal portal for hostels: students raise categorized complaints with photo evidence, each ticket carries an SLA clock derived from its category, overdue tickets auto-escalate to the warden with full history, and a ticket can only close after the resident confirms the fix. A dashboard turns complaints into measurable service data — volumes by category, resolution times, and team-wise SLA compliance feeding a contractor scorecard.

How it works

  1. A resident raises a complaint with category, priority, block/room location, description and photos; the system assigns a ticket ID and an SLA deadline.
  2. The ticket auto-routes to the responsible maintenance team and appears in their queue.
  3. Staff acknowledge the ticket, post progress updates and schedule technician visits on the timeline.
  4. A background scheduler watches SLA deadlines; breached tickets escalate to the warden with full history.
  5. When the work is done, staff request closure; the resident confirms the fix (or reopens with a comment) and rates the handling.
  6. Ratings and resolution times feed the warden dashboard and the monthly contractor scorecard.

Tech stack:

  • Python (Django/Flask) or Node.js backend
  • PostgreSQL/MySQL relational database
  • HTML5, CSS3, JavaScript (mobile-first frontend)
  • Background scheduler for SLA checks
  • Media storage for complaint photos
  • Email/SMS notification gateway
  • Role-based access (resident, staff, warden)
  • Dashboard charts
Parameter Value
Application type Role-based ticketing web application
Ticket states Open, in progress, pending confirmation, resolved, escalated, reopened
SLA model Per-category deadlines (configurable per hostel)
Escalation Automatic on SLA breach, with full history
Closure rule Resident confirmation required (by design)
Photo evidence Multiple photos per ticket
Deployment Shared hosting or small VPS
Deliverables Source code, DB schema, setup guide, report, PPT, viva Q&A

Project features

  • [Categorized complaint intake] Plumbing, electrical, mess, Wi-Fi, housekeeping and carpentry categories with priority tags, location and photo upload.
  • [SLA clocks per ticket] Each category carries a resolution deadline; countdowns are visible to the resident and the assigned team.
  • [Auto-escalation] Breached SLAs escalate to the warden automatically with the complete ticket history attached.
  • [Resident-confirmed closure] Staff can only request closure; the ticket closes when the resident confirms the fix, with a satisfaction rating.
  • [Progress timeline] Every ticket shows a timestamped trail: registered, acknowledged, technician on site, resolved.
  • [Warden dashboard] Ticket volumes, category mix, SLA compliance by team and the escalation list in one view.
  • [Team assignment] Tickets route to the right maintenance team with workload visibility.

What is included

  • Complete complaint portal source code (resident, staff, warden interfaces)
  • Database schema and migration scripts
  • SLA engine with escalation scheduler
  • Warden dashboard with compliance analytics
  • Notification templates (SLA warnings, escalations, closure requests)
  • Setup and deployment guide
  • Test scenarios for the buyer to verify the full ticket lifecycle
  • Project report PDF (background, workflow design, escalation model, methodology)
  • PPT presentation for final review
  • Viva Q&A preparation document (state machines, scheduling, role-based access)

Limitations & prerequisites

  • Actual repair work is done by humans; the system tracks and enforces process, not wrenches.
  • SLA deadlines are policy values configured by the hostel — the system does not decide what is reasonable.
  • Photo evidence helps triage but cannot verify that a repair was done well; resident confirmation does.
  • Notification delivery depends on the configured email/SMS gateway.
  • Multi-hostel hierarchies (cluster wardens, central admin) are configurable but add setup complexity.
  • Predictive maintenance from complaint patterns is future scope.

Frequently Asked Questions

What stops staff from just marking everything resolved?

They cannot. Staff can only request closure; the ticket closes when the resident confirms the fix. Unconfirmed closures stay visible as pending.

How does auto-escalation work?

A scheduler checks SLA deadlines continuously. When a ticket breaches its deadline, it is flagged as escalated and the warden is notified with the complete timeline — no manual step needed.

Can a resident reopen a closed ticket?

Yes. If the fix fails, the resident reopens with a comment and the ticket returns to the team's queue with its history intact.

How are SLA deadlines decided?

Per category, configured by the hostel administration — e.g. water and electrical issues get shorter deadlines than carpentry. The system enforces whatever policy is set.

Does the warden see individual complaints or only summaries?

Both — the dashboard aggregates volumes and compliance, and any ticket (especially escalated ones) can be drilled into for the full timeline.

Is this project suitable for a final-year project?

Yes — for Computer Science, IT and Web Development programs. It demonstrates workflow engines, state machines, scheduled jobs, role-based access and analytics around a genuine institutional problem. Suitable for B.E./B.Tech final-year projects in Computer Science, IT and Web Development.

Components & software requirements
  • Python (Django/Flask) or Node.js backend
  • PostgreSQL/MySQL relational database
  • HTML5, CSS3, JavaScript (mobile-first frontend)
  • Background scheduler for SLA checks
  • Media storage for complaint photos
  • Email/SMS notification gateway
  • Role-based access (resident, staff, warden)
  • Dashboard charts
Delivery information

Built-to-order project. Delivery timeline is shared after order confirmation based on current queue.

Support terms

Complete documentation, setup guide, and viva preparation included. Support for setup and explanation provided.

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