Active Final Year Projects Showcase

With the rapid growth of urban environments, traditional public waste collection services frequently suffer from critical operational blind spots, unlogged request completion intervals, lack of secure validation pathways, and completely unreliable utility tracking metrics. This produces serious public cleanliness issues for municipal corporations and local communities who cannot easily track collector movements, submit digital clean-up requests, or find actionable channels to hold regional authorities accountable.
To directly resolve this, EcoRoute: Smart Waste Collection and Complaint System integrates hardwarelinked geospatial frameworks, automated administrative escalation mechanisms, and dynamic user verification modules to transform local utility delivery into a transparent pipeline. By mapping solid waste lifecycle data straight to cross-platform mobile client layers, the application replaces unverified workflows with automated, location-bound proof mechanisms, digital micro-billing infrastructures, and rigorous regional administrative oversight frameworks.

1- Citizens: To submit waste pickups, file complaints, and view utility billing via mobile app. 2- Area Supervisors: To clear regional requests, launch GPS navigation, and dispatch field crews. 3- District Supervisors: To handle escalated complaints, issue direct orders, and manage House ID billing. 4- Municipal Bodies: To track zone performance and export analytical PDF/Excel reports. 5- Root Admins: To approve supervisor onboarding and manage global user directories.

*User Onboarding & RBAC: Fast registration for citizens and account verification/approval workflows for supervisors.
* Media Upload & Pre-processing: Upload images via camera/gallery with real-time client-side compression before cloud dispatch.
* GPS Metadata Binding: Automatically embed device GPS coordinates ($Latitude, Longitude$) directly into uploaded photo payloads.
* Geospatial Dashboard & Navigation: Display zone-restricted active tickets and launch turn-by-turn routing via Google Maps SDK.
* Field Verification Loop: Assign tasks to field crews and require an "Area Cleared" proof photograph to close requests.
* Resolution Alerts: Dispatch instant push notifications to citizens upon successful ticket closure.
* 3-Strike Escalation System: Automatically flag unaddressed complaints ($isEscalated = true$) after 3 strikes and route them to District Supervisors.
* Executive Delegation Console: Allow upper management to issue direct digital orders to local supervisors for escalated tickets.
* House ID Micro-Billing: Configure flat 100 RS per-request charges bound directly to residential House ID records.
* Analytics & Report Generation:Export ticket logs, rejection metrics, and operational summaries into downloadable PDF or Excel files.

1- Performance The application interface must maintain fluid cross-platform rendering natively compiled using Flutter, supporting a smooth 60 FPS target across Android and iOS devices. Low-latency backend synchronization must process status updates and ticket state transitions across corresponding supervisor dashboards within 2.0 seconds. On-demand document compilation engines must programmatically compile complex analytical reports into exportable PDF files in under 3.0 seconds.
2- Scalability The underlying system architecture shall be engineered to handle concurrent multi-district data entries and real-time map synchronization feeds using asynchronous serverless data streams, optimized resource allocations, and efficient database connection pooling. EcoRoute System
3- Security & Privacy Rigid database role isolation rules must protect geographic boundaries, preventing local supervisors from reading or querying entries outside their assigned zone. Financial mutation locking mechanisms must restrict write or append privileges exclusively to authenticated District Supervisors, rendering views read-only for admins and area supervisors.
4- Usability The user interface layouts must be entirely responsive and intuitive, requiring minimal training to operate across varying screen sizes. Resource-efficient location tracking scripts must minimize battery drain by targeting device GPS arrays only during active form submissions, map pinning, or photo captures.