Infinite Academic Artifact Storage • AI Verification • Institutional Registry • Realtime Infrastructure
Overview • Features • Architecture • Tech Stack
Sayan |
Abhishek |
Shyamsundar |
Liza |
DOFETCH is a next-generation institutional credential registry and AI-powered academic verification ecosystem engineered to modernize how educational institutions preserve, verify, manage, and analyze academic credentials.
The platform combines:
- AI-assisted forensic verification
- distributed cloud-native infrastructure
- realtime synchronization systems
- institutional authentication
- scalable academic preservation
- intelligent academic indexing
- dynamic portfolio generation
DOFETCH explores how modern AI systems and distributed infrastructure can redefine institutional verification ecosystems.
Build a scalable, intelligent, and secure institutional verification ecosystem capable of preserving and validating academic credentials using AI-powered forensic analysis.
The platform integrates multimodal AI verification pipelines capable of:
- OCR extraction
- authenticity analysis
- forgery detection
- metadata reasoning
- issuer validation
- verification scoring
The registry engine centralizes:
- students
- faculty
- departments
- sections
- credentials
- verification metadata
- institutional relationships
into a unified academic ecosystem.
Students can maintain interactive academic portfolios containing:
- verified certificates
- authenticity scores
- academic achievements
- verification status
- institutional metadata
The platform uses distributed synchronization systems for:
- upload tracking
- AI workflow coordination
- asynchronous verification
- realtime frontend updates
- live infrastructure polling
The authentication infrastructure supports:
- domain-restricted access
- role-based routing
- protected institutional workflows
- layered authorization systems
- faculty & student separation
DOFETCH introduces an experimental storage architecture powered by Telegram-based binary persistence.
This enables:
- scalable storage systems
- low-cost infrastructure
- lightweight deployments
- academic archive preservation
Client Interface
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Next.js Fullstack Platform
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├── Authentication Layer
├── API Gateway
├── AI Verification Engine
├── Registry Engine
├── Portfolio System
├── Synchronization Layer
└── Verification Infrastructure
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External Infrastructure Services
│
├── Supabase PostgreSQL
├── Telegram Storage Backend
├── Gemini AI Engine
├── Upstash Redis
└── Clerk Authentication
DOFETCH follows a distributed service-oriented architecture where every infrastructure layer handles a highly specialized responsibility.
| Service | Responsibility |
|---|---|
| Clerk | Authentication & Identity |
| Supabase | Database Infrastructure |
| Telegram | Artifact Storage |
| Gemini AI | Forensic Verification |
| Redis | Realtime Synchronization |
| Next.js | Fullstack Runtime |
The AI verification engine acts as the forensic intelligence core of the platform.
Uploaded credentials pass through:
- OCR extraction
- authenticity investigation
- metadata inspection
- forgery detection
- verification reasoning
- scoring systems
Credential Upload
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File Processing
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AI OCR Extraction
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Authenticity Investigation
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Forgery Detection
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Verification Scoring
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Database Synchronization
The platform implements layered institutional security systems.
Only authenticated institutional users can access protected workflows.
Students and faculty operate within isolated permission boundaries.
Row-Level Security policies ensure controlled academic data access.
Protected APIs require authenticated sessions and middleware validation.
Verification pipelines remain isolated from public infrastructure layers.
DOFETCH introduces an unconventional binary artifact storage architecture using Telegram infrastructure.
The platform stores:
- certificates
- academic documents
- achievement records
- portfolio artifacts
inside a managed archival ecosystem.
Traditional systems often rely heavily on:
- AWS S3
- Google Cloud Storage
- Azure Blob Storage
DOFETCH explores a lightweight alternative optimized for:
- educational institutions
- scalable research systems
- low-cost deployments
- academic preservation infrastructure
Redis synchronization systems coordinate:
- upload states
- verification workflows
- AI processing pipelines
- frontend polling systems
- asynchronous infrastructure
Upload Request
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Redis Sync State
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AI Processing Queue
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Database Persistence
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Frontend Polling
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Completion State
The portfolio engine transforms traditional academic records into dynamic digital identities.
Students can showcase:
- verified credentials
- institutional achievements
- authenticity scores
- verification metadata
- academic history
through interactive portfolio systems.
Faculty members can:
- review submissions
- inspect AI reasoning
- analyze verification scores
- approve or reject credentials
- manage institutional sections
- monitor academic activity
The platform introduces a graph-based institutional visualization system capable of representing:
- faculty topology
- academic hierarchy
- section relationships
- institutional mappings
- verification structures
| Layer | Technology |
|---|---|
| Frontend | Next.js 15 |
| Language | TypeScript |
| Styling | Tailwind CSS |
| Authentication | Clerk |
| Database | Supabase PostgreSQL |
| AI Engine | Gemini AI |
| Cache Layer | Upstash Redis |
| Storage Backend | Telegram Bot API |
| Animation | Framer Motion + GSAP |
| Testing | Vitest + Playwright |
The project heavily focuses on:
- AI systems engineering
- distributed infrastructure
- cloud-native architecture
- realtime synchronization
- scalable academic technology
- authentication systems
- secure institutional ecosystems
The architecture was designed for:
- modular infrastructure
- distributed services
- scalable verification systems
- replaceable storage layers
- cloud-native deployment
- realtime distributed processing
Supported deployment targets include:
- Vercel
- Docker Infrastructure
- Edge Runtime Environments
- Standalone Node.js Runtime
Planned future upgrades include:
- production-grade object storage migration
- advanced fraud detection systems
- distributed AI orchestration
- verification analytics dashboards
- multi-university support
- collaborative verification infrastructure
DOFETCH explores:
- AI-assisted forensic verification
- distributed academic infrastructure
- alternative storage architecture
- intelligent academic indexing
- scalable institutional ecosystems
- Universities
- Colleges
- Academic Registries
- Institutional Archives
- Credential Verification Systems
- Student Portfolio Platforms
- Educational Infrastructure
- Digital Credential Ecosystems
app/
components/
api/
lib/
hooks/
services/
database/
middleware/
public/
tests/
This repository contains:
- architecture documentation
- infrastructure analysis
- verification workflow explanations
- scalability planning
- deployment strategies
- AI pipeline documentation
- security architecture breakdowns
| State | Status |
|---|---|
| Development | Active |
| Architecture | Operational |
| AI Verification | Functional |
| Authentication | Stable |
| Registry System | Operational |
| Synchronization | Functional |
DOFETCH is not just a storage platform.
It is an exploration into:
- intelligent institutional infrastructure
- AI-powered verification systems
- scalable academic preservation
- distributed educational technology
DOFETCH demonstrates how AI systems, distributed infrastructure, realtime synchronization, and unconventional storage architectures can be combined to create scalable institutional verification ecosystems capable of redefining modern academic credential platforms.
Built with modern fullstack architecture, AI systems, and scalable cloud-native engineering.