A secure, intelligent complaint management platform ensuring transparency, integrity, and automation.
Citizens or employees file complaints with supporting evidence, which is stored on decentralised IPFS storage while every submission, update and resolution is written immutably to a blockchain ledger. Generative AI screens incoming text for spam and validates that attached images are genuinely relevant, so the queue that reaches human reviewers is clean and the audit trail cannot be rewritten.
Complaint systems are trusted only as far as the authority running them: records can be edited, evidence can disappear, and there is no way for a complainant to prove what was filed or when. At the same time, reviewers drown in spam and irrelevant attachments.
Move the record of truth off the administrator's database and onto a blockchain ledger with IPFS-backed evidence, then put a generative AI filter in front of the queue so only valid, on-topic complaints consume reviewer time.
IPFS-Based Storage
Decentralized, tamper-proof storage of complaint records and evidence.
Blockchain-Based Transaction Log
Immutable logging of complaint submissions, updates, and resolutions.
GenAI Text Analysis
Automatic detection and filtering of spam or irrelevant complaint content.
GenAI Image Validation
Identifies relevant and valid image evidence attached to complaints.
Blockchain
Storage
Gen-AI
Application
Complaint submission
The user files a complaint with text and image evidence.
AI screening
Generative AI filters spam text and validates image relevance.
Decentralised storage
Evidence is pinned to IPFS and its hash returned.
On-chain logging
The complaint hash and status changes are written to the ledger.
Resolution & audit
Officials update status; the full history stays publicly verifiable.
Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.
Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.
That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.
We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.
Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.
Get complete source code, documentation, PPT, explanation, and support.
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