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| Description: | • Background The National Council for Cooperative Training (NCCT), through VAMNICOM, RICMs, and ICMs, conducts large-scale training programmes for cooperative personnel, PACS members, SHGs, dairy cooperatives, farmers, and rural youth across the country. Simultaneously, trained rural youth often face challenges in accessing employment opportunities, entrepreneurship support, digital learning resources, and visibility of skill certifications.Existing systems are largely manual or fragmented, resulting in duplication of effort, inadequate trainee tracking, limited learning analytics, poor employment linkage, and inefficient programme administration. • Problem Statement To develop an integrated digital ecosystem for cooperative training institutions that combines ERP-based training management, e-learning, data analytics, skill development, digital literacy, and employment exchange services for cooperative stakeholders and rural youth. • Scope of the Solution The proposed system should provide a centralized, scalable, and web-based digital platform capable of integrating all major training management activities under NCCT institutions. • Expected Solution Features • Online programme registration and nomination management • Participant, institution, and trainee profile management • Interactive multilingual e-learning modules • Digital attendance through face recognition / QR code • Timetable, hostel, and logistics management • LMS integration with assessments and certification • Skill certification repository and verification • Career counseling chatbot • Employer and recruiter dashboard • Mobile-friendly and offline-accessible learning platform • Centralized database for future programme outreach and monitoring • Technology Components • Learning Management Systems (LMS) • Cloud-Based ERP Platform • Data Analytics • Mobile Applications • Multimedia & Interactive Learning Tools • Face Recognition / QR Technologies • Proposed Mode Software + Hardware |
| Organization: | Ministry of Cooperation |
| Department: | National Council for Cooperative Training (NCCT) |
| Category: | Hardware |
| Theme: | Smart Educationtd> |
| Youtube Link: | Not provided |
| Dataset Link: | Not provided |
| Contact info: | Not provided |
The National Council for Cooperative Training (NCCT), an autonomous body under the Ministry of Cooperation, operates a nationwide network comprising VAMNICOM (Pune), 5 Regional Institutes of Cooperative Management (RICMs), 14 Institutes of Cooperative Management (ICMs), and 107 Junior Training Centres (JTCs) [KNOWN]. While these institutions train over 2.2 lakh cooperative personnel, Primary Agricultural Credit Societies (PACS) members, Self-Help Groups (SHGs), dairy cooperatives, and rural youth annually [RESEARCHED], the current operational model suffers from manual workflows, fragmented databases, inadequate trainee tracking, zero automated employment linkages, and limited learning analytics [PS]. This proposal presents an integrated, cloud-based cooperative capacity-building ecosystem combining an ERP-driven training management platform, an offline-first multilingual Learning Management System (LMS) with AI-powered career guidance, face/QR-based attendance hardware verification, verifiable digital skill credentialing, and a dedicated recruiter exchange [INFERENCE]. Designed for rural low-bandwidth realities, the solution bridges skill acquisition and rural employment, transforming cooperative training into an end-to-end career engine [INFERENCE].
| Attribute | Details |
|---|---|
| PS Number | SIH26087 [PS] |
| Title | AI & LMS - Enabled Cooperative Capacity Building, ERP & Employment Ecosystem [PS] |
| Organization | Ministry of Cooperation [PS] |
| Department | National Council for Cooperative Training (NCCT) [PS] |
| Category | Hardware [PS] |
| Theme | Smart Education [PS] |
| Deadline | 30 September 2026 [PS] |
| Ideas Counter | 0/500 [PS] |
To establish a unified, offline-resilient, AI- and hardware-enabled digital ecosystem that seamlessly automates NCCT institutional training operations (ERP), delivers localized interactive learning (LMS), verifies trainee identity and credentials, and directly links certified rural talent with cooperative and agri-sector employers [INFERENCE].
The explicit problem statement description is deconstructed into atomic requirements below, preserving all explicit mandates and identifying operational implications [PS].
| Stakeholder | Goal | Current Pain | System Need |
|---|---|---|---|
| Rural Youth & PACS Members | Acquire certified cooperative/digital skills and gain employment or entrepreneurship support [INFERENCE]. | Lack of local training visibility, expensive travel, generic non-localized courses, zero job placement tracking [RESEARCHED]. | Multilingual mobile LMS with offline video caching, AI career guidance in native speech, verifiable digital certificates [INFERENCE]. |
| NCCT Course Directors & Faculty | Conduct structured training, track daily attendance, manage course schedules, evaluate trainees smoothly [INFERENCE]. | Manual attendance registers, cumbersome physical paper records, lack of real-time learning progress visibility [PS]. | Tablet/hardware face/QR attendance terminal, automated timetable scheduler, auto-graded quizzes, bulk certificate issuer [INFERENCE]. |
| NCCT HQ & Ministry Officials | Monitor training reach across India, allocate funding, track impact, plan future skill schemes [INFERENCE]. | Fragmented data across 20+ centers (RICMs/ICMs), delayed reporting, duplicate trainee records [PS]. | Centralized analytics dashboard, real-time enrolment & completion metrics, integration with National Cooperative Database [INFERENCE]. |
| Hostel & Logistics Staff | Manage room allocations, mess supplies, and facility requests during multi-week training programs [INFERENCE]. | Overbooking, manual ledger entries, uncoordinated arrival/departure logistics [INFERENCE]. | Simple ERP hostel desk interface with room availability grids and inventory alerts [INFERENCE]. |
| Cooperative Employers (PACS, Dairy Federations, FPOs) | Hire trained, verified local talent for accounting, computer operations, and management roles [INFERENCE]. | Difficulty finding qualified rural youth, unverified resumes, high recruitment time/cost [INFERENCE]. | Recruiter portal with skill-filtered resume search, direct candidate shortlisting, and 1-click certificate verification [INFERENCE]. |
| Proposed System Feature | Direct Requirement Justified | Technical Component |
|---|---|---|
| Nomination & Self-Registration Portal | Requirement R1 [PS] | Next.js Web Portal + Role-Based Access Control (RBAC) |
| Institutional & Trainee Unified Profile | Requirement R2 [PS] | PostgreSQL Relational User & Org Schema |
| Multilingual LMS Player | Requirement R3 [PS] | HTML5 Video/SCORM Player with i18next & AWS/Azure Transcribe pipeline |
| Face Recognition / QR Edge Kiosk | Requirement R4 [PS] | Android App / Raspberry Pi Python OpenCV + MobileFaceNet Edge AI |
| ERP Timetable & Hostel Module | Requirement R5 [PS] | Node.js ERP Engine with Resource Scheduler & Room Matrix |
| Assessment & Certificate Engine | Requirement R6 [PS] | Node.js PDFKit / Canvas renderer + Automated Grading Logic |
| Public Verifiable Certificate Registry | Requirement R7 [PS] | SHA-256 Hashing Service + Public QR Lookup REST API |
| Multilingual Voice/Text AI Career Chatbot | Requirement R8 [PS] | LangChain / LlamaIndex + Quantized Llama-3 / Mistral + Whisper Speech API |
| Recruiter Job Board & Matching Dashboard | Requirement R9 [PS] | Recruiter Web Dashboard + Candidate Skill Search Index |
| Offline PWA / Mobile LMS with Sync | Requirement R10 [PS] | React Native / PWA with Workbox, WatermelonDB / SQLite delta-sync |
| Centralized Analytics & Outreach Hub | Requirement R11 [PS] | PostgreSQL + Metabase / Apache Superset + WhatsApp/SMS Gateway API |
Connectivity Realities: Rural training centers (JTCs) and villages often experience frequent internet outages, 2G/3G degradation, and high latency [KNOWN].
Digital Literacy & Language Diversity: Rural youth, PACS staff, and dairy farmers possess varied literacy levels and speak diverse regional languages (Hindi, Kannada, Tamil, Bengali, Marathi, etc.) [KNOWN].
Hardware Availability: RICMs and ICMs have basic desktop PCs and standard webcams or smartphones, but lack high-end AI servers or specialized biometric hardware [INFERENCE].
Power & Field Conditions: Rural centers face intermittent power supply [KNOWN].
cooperatives.gov.in)? [RESEARCHED]| Data Type | Purpose | Ideal Real-World Source | Hackathon Substitute | Access Method | Availability | Privacy Sensitivity | Confidence Tag |
|---|---|---|---|---|---|---|---|
| Trainee Demographic & Identity Data | Candidate registration, profile management, and Aadhaar verification [INFERENCE]. | Aadhaar eKYC API / National Cooperative Database [RESEARCHED]. | Mock JSON data generator with simulated Aadhaar hashes [ASSUMPTION]. | REST API / Mock Service [ASSUMPTION]. | Simulated for Hackathon [ASSUMPTION]. | High (PII) [KNOWN] | [INFERENCE] |
| Cooperative Institution Master Data | Mapping 20+ NCCT centers (VAMNICOM, RICMs, ICMs) and 8.5L cooperatives [RESEARCHED]. | Ministry of Cooperation - National Cooperative Database (cooperatives.gov.in) [RESEARCHED]. |
Scraped/curated list of NCCT institutes and sample PACS [RESEARCHED]. | Public web scraper / CSV import [RESEARCHED]. | Publicly available list [RESEARCHED]. | Low [KNOWN] | [RESEARCHED] |
| Course & Training Media | Multilingual video lessons, PDFs, and SCORM interactive modules [INFERENCE]. | NCCT Training Syllabus & VAMNICOM course repository [RESEARCHED]. | Open-source agri/cooperative video clips & markdown lessons [ASSUMPTION]. | Static S3 storage / Local storage [ASSUMPTION]. | Openly downloadable media [ASSUMPTION]. | Low [KNOWN] | [INFERENCE] |
| Biometric Face Embeddings | Offline face recognition for classroom attendance [INFERENCE]. | Live camera capture during trainee onboarding [INFERENCE]. | Synthetic dataset of facial images transformed to 128-d vector embeddings [ASSUMPTION]. | OpenCV / dlib / TFLite pipeline [ASSUMPTION]. | Generated on device [ASSUMPTION]. | Critical (Biometric) [KNOWN] | [INFERENCE] |
| Job Postings & Candidate Skill Ratings | Employment exchange matching and recruiter dashboard [INFERENCE]. | Cooperative Banks, PACS, Dairy Federations, e-Shram / NCS [RESEARCHED]. | Synthetic job listings database from sample agri-businesses [ASSUMPTION]. | SQL queries / ElasticSearch index [ASSUMPTION]. | Mock DB [ASSUMPTION]. | Medium [KNOWN] | [INFERENCE] |
| Existing Platform | Description | Strengths | Weaknesses | Relevance | Gap Remaining for NCCT | Source | Confidence Tag |
|---|---|---|---|---|---|---|---|
| SWAYAM | MHRD national MOOC portal for higher education [KNOWN]. | Scalable video streaming, formal academic credits [KNOWN]. | High internet requirement; generic academic courses; no offline edge attendance; no direct recruiter exchange [RESEARCHED]. | LMS benchmark | Lacks cooperative-specific workflows, offline PWA synchronization, and embedded local recruitment exchange [INFERENCE]. | swayam.gov.in [RESEARCHED] | [RESEARCHED] |
| iGOT Karmayogi | Capacity building platform for Indian civil servants [KNOWN]. | Competency-based learning framework, deep government tracking [RESEARCHED]. | Tailored exclusively for government employees; no public job exchange; no hostel/logistics ERP integration [RESEARCHED]. | Capacity building architecture | Built for civil services, not rural youth/PACS members; lacks face-recognition hardware kiosk integration [INFERENCE]. | igotkarmayogi.gov.in [RESEARCHED] | [RESEARCHED] |
| National Career Service (NCS) | MoLE employment exchange portal [KNOWN]. | Massive employer network, job mapping [KNOWN]. | Disconnected from specialized cooperative training bodies; no integrated LMS or institutional ERP [RESEARCHED]. | Employment portal benchmark | Lacks skill verification directly tied to NCCT training completions and offline training tracking [INFERENCE]. | ncs.gov.in [RESEARCHED] | [RESEARCHED] |
| NABARD PACS ERP Software | Centrally sponsored ERP for computerisation of 63,000 PACS [RESEARCHED]. | Covers 22 financial/administrative modules for PACS operations [RESEARCHED]. | Focused strictly on PACS operational accounting; does not manage NCCT training institutes, LMS, or youth employment exchange [RESEARCHED]. | Cooperative ERP | Focuses on society accounting/credit rather than multi-institute capacity building and youth job placement [INFERENCE]. | PIB Release PRID 2205057 [RESEARCHED] | [RESEARCHED] |
Approach 3: Modular Hybrid Microservices with Offline-First Edge AI & PWA Architecture [INFERENCE].
+-----------------------------------------------------------------------------------+
| 1. USER / CLIENT LAYER |
| +--------------------+ +--------------------+ +-----------------------------+ |
| | Trainee Mobile PWA | | Recruiter Portal | | Hardware Edge Kiosk | |
| | (React / Offline) | | (Next.js / Web) | | (Android/Pi + OpenCV Camera)| |
| +--------------------+ +--------------------+ +-----------------------------+ |
+-----------------------------------------+-----------------------------------------+
|
v (REST / HTTPS / WSS / Delta Sync)
+-----------------------------------------------------------------------------------+
| 2. API & GATEWAY LAYER |
| +-----------------------------------------------------------------------------+ |
| | NGINX Reverse Proxy + API Gateway (Rate Limiting, Auth JWT, Routing) | |
| +-----------------------------------------------------------------------------+ |
+-----------------------------------------+-----------------------------------------+
|
v
+-----------------------------------------------------------------------------------+
| 3. CORE SERVICE MICROSERVICES |
| +-----------------------+ +-----------------------+ +-------------------------+ |
| | User & Org Profile | | Institutional ERP | | LMS & Assessment | |
| | Service (Node.js) | | Service (Hostel/Time)| | Engine (Node/Express) | |
| +-----------------------+ +-----------------------+ +-------------------------+ |
| +-----------------------+ +-----------------------+ +-------------------------+ |
| | Attendance & Face Rec | | Certificate & Hash | | Recruiter & Job Match | |
| | Sync Service (Python) | | Registry (Crypto) | | Service (Node.js) | |
| +-----------------------+ +-----------------------+ +-------------------------+ |
| +-----------------------------------------------------------------------------+ |
| | AI Career Chatbot Service (Python FastAPI + LangChain + FAISS Vector Store) | |
| +-----------------------------------------------------------------------------+ |
+-----------------------------------------+-----------------------------------------+
|
v
+-----------------------------------------------------------------------------------+
| 4. DATA & STORAGE LAYER |
| +----------------------+ +----------------------+ +---------------------------+ |
| | Primary DB | | Cache / Queue | | Object Storage | |
| | PostgreSQL + PostGIS | | Redis (Sessions) | | S3 / MinIO (Videos, PDFs) | |
| +----------------------+ +----------------------+ +---------------------------+ |
+-----------------------------------------+-----------------------------------------+
|
v
+-----------------------------------------------------------------------------------+
| 5. EXTERNAL INTEGRATION LAYER |
| +-----------------------+ +-----------------------+ +-------------------------+ |
| | National Cooperative | | Aadhaar / SMS Gateway | | WhatsApp Business API | |
| | Database API [MOCK] | | Service [SIMULATED] | | (Outreach Alerts) | |
| +-----------------------+ +-----------------------+ +-------------------------+ |
+-----------------------------------------------------------------------------------+
| Layer | Selected Technology | Why It Fits | Alternative Considered | Why Rejected |
|---|---|---|---|---|
| Frontend / PWA | React.js + Vite + Tailwind CSS + Workbox PWA | High performance, excellent PWA offline caching support, lightweight bundle size for rural mobile phones [INFERENCE]. | Angular / Vue.js | Angular has steeper learning curve and heavier bundle size for low-cost mobile devices [INFERENCE]. |
| Mobile App (Field/Trainee) | React Native (Cross-platform) | Single codebase for Android/iOS with native SQLite access for offline LMS media and vector storage [INFERENCE]. | Native Java/Kotlin | Higher development time; hard for a student team to maintain separate codebases [INFERENCE]. |
| Backend API | Node.js (Express.js) + TypeScript | Fast asynchronous I/O, rapid API development, strong ecosystem for JSON ERP operations [INFERENCE]. | Java Spring Boot | Heavy memory footprint; slower prototyping speed for hackathon duration [INFERENCE]. |
| AI / ML Service | Python (FastAPI) + PyTorch + OpenCV | Native library ecosystem for face recognition models and LangChain RAG pipelines [INFERENCE]. | Flask / Django | FastAPI offers superior performance, native async execution, and auto-generated OpenAPI docs [INFERENCE]. |
| Database | PostgreSQL + PostGIS | Enterprise relational structure for ERP multi-tenancy + GIS capability for spatial mapping of cooperatives [INFERENCE]. | MongoDB | Lack of strict ACID transaction support required for hostel booking and course grading ERP [INFERENCE]. |
| Cache & Message Broker | Redis | In-memory key-value caching for sessions and background job queue for async certificate generation [INFERENCE]. | RabbitMQ | Redis is simpler to deploy and handles both caching and queuing effectively [INFERENCE]. |
| Edge AI Attendance | OpenCV + MobileFaceNet (TFLite) | Runs facial detection and 128-d vector embedding extraction locally on standard CPU/Android hardware without cloud dependency [INFERENCE]. | AWS Rekognition API | Cloud API introduces latency, high cost per scan, and complete failure during rural internet outages [INFERENCE]. |
| AI Chatbot Engine | LangChain + Quantized Llama-3 8B / Mistral 7B + FAISS | Open-source, highly capable multilingual domain assistant with local vector retrieval [INFERENCE]. | OpenAI GPT-4 API | High operational API cost and potential data privacy concerns for citizen queries [INFERENCE]. |
| Storage | MinIO / AWS S3 | S3-compatible object storage for video streaming files, PDFs, and avatar images [INFERENCE]. | Local Disk File Storage | Fails scalability and multi-server production deployment requirements [INFERENCE]. |
-- Trainees & Users Master
CREATE TABLE users (
user_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
aadhaar_hash VARCHAR(64) UNIQUE,
full_name VARCHAR(100) NOT NULL,
phone VARCHAR(15) UNIQUE NOT NULL,
preferred_language VARCHAR(10) DEFAULT 'hi',
user_role VARCHAR(20) CHECK (user_role IN ('TRAINEE', 'FACULTY', 'RECRUITER', 'ADMIN')),
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Trainee Biometric Template (Privacy Preserving: Embeddings Only)
CREATE TABLE trainee_biometrics (
biometric_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
user_id UUID REFERENCES users(user_id) ON DELETE CASCADE,
face_embedding FLOAT8[128] NOT NULL, -- 128-d floating point vector
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Institutions (NCCT HQ, RICMs, ICMs)
CREATE TABLE institutions (
inst_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
inst_code VARCHAR(20) UNIQUE NOT NULL, -- e.g., 'RICM-BLR', 'VAMNICOM'
name VARCHAR(150) NOT NULL,
state VARCHAR(50),
district VARCHAR(50),
location GEOGRAPHY(POINT, 4326)
);
-- ERP Hostel Rooms Management
CREATE TABLE hostel_rooms (
room_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
inst_id UUID REFERENCES institutions(inst_id),
block_name VARCHAR(50),
room_number VARCHAR(20),
capacity INT NOT NULL,
occupied_count INT DEFAULT 0
);
-- Offline Sync Queue Schema (Client/Server Sync)
CREATE TABLE sync_audit_log (
sync_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
device_id VARCHAR(50) NOT NULL,
entity_type VARCHAR(50) NOT NULL, -- 'ATTENDANCE', 'ASSESSMENT'
payload JSONB NOT NULL,
client_timestamp TIMESTAMP NOT NULL,
synced_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
sync_status VARCHAR(20) DEFAULT 'SUCCESS'
);
updated_at timestamp and a client-generated UUID v4 [INFERENCE].delta) since the last successful sync timestamp (last_synced_at) [INFERENCE].BackgroundSync API when connectivity recovers [INFERENCE].Biometric Privacy & DPDP Act 2023 Compliance: Raw face photographs captured during onboarding are discarded immediately after feature extraction. ONLY 128-dimensional floating-point mathematical embedding vectors are encrypted and stored using AES-256 [INFERENCE]. Biometric matching is performed locally or over secure channels [INFERENCE].
Personal Identifiable Information (PII): Aadhaar numbers are NEVER stored in plain text. Only truncated reference numbers and salted SHA-256 hashes are retained for record deduplication [INFERENCE].
Authentication & Authorization:
Role-Based Access Control (RBAC) enforced via short-lived JWTs (15 min expiry) with secure HTTP-only refresh tokens. Role tiers: SUPER_ADMIN (Ministry), INSTITUTE_ADMIN (RICM/ICM Director), FACULTY, RECRUITER, TRAINEE [INFERENCE].
Data Ownership & Encryption: Data belongs to the Ministry of Cooperation / NCCT [PS]. All data in transit uses TLS 1.3 encryption, and data at rest in PostgreSQL and MinIO uses AES-256 encryption [INFERENCE].
Audit Trails & Governance: Immutable audit log table records every administrative write action, certificate issuance, hostel allocation, and recruitment outreach for governance compliance [INFERENCE].
+-----------------------------------------------------------------------------------+
| HACKATHON MVP SCOPE |
| |
| [MUST BUILD - CORE FEASIBLE PROTOTYPE] |
| * Unified Web Portal for Registration & Nomination Management (R1, R2) |
| * Multilingual LMS Module with video player & quiz assessment engine (R3, R6) |
| * Hardware Edge Attendance Demo (Webcam/Tablet Face Rec + QR fallback) (R4) |
| * Basic ERP Modules: Timetable calendar & Hostel room allocation grid (R5) |
| * Cryptographic Certificate Generator with Instant QR Verification Page (R7) |
| * AI Career Counseling Chatbot (Text/Voice RAG in Hindi & English) (R8) |
| * Recruiter Dashboard with candidate search & shortlisting (R9) |
| * Offline Sync Simulation Engine (Simulating connectivity loss & sync) (R10) |
| * Centralized Monitoring Analytics Dashboard (R11) |
+-----------------------------------------------------------------------------------+
| [DESCRIBED ONLY / OUT OF SCOPE FOR MVP] |
| * Live Production Integration with National Cooperative Database APIs |
| * Full Pan-India Aadhaar eKYC Gateway Integration (Replaced by Mock Service) |
| * Native iOS App App Store Deployment (PWA serves full mobile demo) |
| * Hardware Manufacturing of Custom Industrial Kiosks |
+-----------------------------------------------------------------------------------+
To present a compelling, live working prototype without relying on external government sandboxes or dedicated hardware servers during judging:
Simulated Hardware Attendance Kiosk:
Simulated Offline Connectivity:
Simulated External Government Feeds:
/api/v1/mock/national-co-op-db/pacs/1042) returning realistic JSON payloads matching National Cooperative Database schema [ASSUMPTION].Aligned against the official competition deadline: 30 September 2026 [PS].
Phase 1: Architecture & Data Schema (Target: Oct 2025 - Dec 2025)
├── Finalize PostgreSQL ERP/LMS schema and RBAC design
├── Build mock API wrappers for National Cooperative Database
└── Develop MobileFaceNet face embedding pipeline benchmark
Phase 2: Core ERP & Multilingual LMS Engine (Target: Jan 2026 - Mar 2026)
├── Build Next.js Admin & ERP portal (Hostel, Timetable, Nominations)
├── Develop React PWA LMS player with offline IndexedDB storage
└── Implement PDF digital certificate generator & QR verification API
Phase 3: Hardware Edge & AI Chatbot Integration (Target: Apr 2026 - Jun 2026)
├── Deploy Python OpenCV attendance kiosk app on low-cost Android/Raspberry Pi
├── Build LangChain RAG pipeline with quantized Llama-3 for career chatbot
└── Integrate Recruiter job board dashboard with candidate filtering
Phase 4: Synchronization, Testing & Refinement (Target: Jul 2026 - Aug 2026)
├── Conduct end-to-end delta sync stress tests under throttled 2G networks
├── Perform security penetration test & DPDP compliance audit
└── Optimize edge face model inference speed (< 500ms on CPU)
Phase 5: Final Demo Deployment & Submission (Target: 1 Sep 2026 - 30 Sep 2026)
├── Deploy cloud services on AWS/GCP docker containers
├── Prepare offline simulation harness and live video demo recording
└── Final Submission prior to 30 September 2026 deadline [PS]
| Test Domain | Test Objective | Test Procedure / Tool | Target Success Metric |
|---|---|---|---|
| Functional | Verify nomination, hostel booking, course completion, and certificate generation workflows. | Playwright end-to-end integration tests. | 100% pass across core user flows [INFERENCE]. |
| Offline Sync | Validate data integrity after 50 offline assessment submissions sync simultaneously. | Postman network throttling + simulated disconnection script. | Zero data loss; 100% reconciliation [INFERENCE]. |
| AI Face Recognition | Test facial detection accuracy across diverse lighting and skin tones. | Test matrix with 200 synthetic subject images (dark/bright lighting, glasses). | Accuracy > 98%, FAR < 0.01% [INFERENCE]. |
| AI False Positive / False Negative | Ensure un-enrolled persons are rejected and enrolled trainees are recognized accurately. | Negative testing dataset with 50 non-enrolled faces. | Zero false admissions [INFERENCE]. |
| AI Chatbot Relevance | Evaluate accuracy of career guidance responses in Hindi and English. | RAG Triad evaluation using TruLens / Ragas framework. | Faithfulness & Answer Relevance > 0.90 [INFERENCE]. |
| Performance / Load | Ensure backend handles concurrent attendance sync from 200 training rooms. | Apache JMeter / k6 load testing (500 req/sec). | Response latency < 300ms at 95th percentile [INFERENCE]. |
| Security | Check for SQL injection, JWT manipulation, and raw biometric leakage. | OWASP ZAP Automated Scanner + manual penetration testing. | Zero High/Critical vulnerability findings [INFERENCE]. |
| Risk Event | Likelihood | Impact | Severity | Risk Mitigation Strategy |
|---|---|---|---|---|
| Network Failure during Live Judge Demo | Medium | High | High | Run full local stack via Docker Compose on demo laptop with local mock database [ASSUMPTION]. |
| Edge Face Recognition Fails in Poor Lighting | High | Medium | High | Dual-mode fallback: Automatic instant switch to dynamic QR code scan + SMS OTP [INFERENCE]. |
| Offline Sync Database Conflicts | Medium | High | High | Enforce deterministic UUID v4 keys and server-side vector clock reconciliation logic [INFERENCE]. |
| Non-Compliance with Biometric Data DPDP Act | Low | High | Medium | Store only anonymized 128-d floating point embeddings; purge raw images instantly on edge device [INFERENCE]. |
| Low Adoption by Rural Trainees Due to Literacy | Medium | High | High | Incorporate voice-driven UI, video-first content, and single-click local language switching [INFERENCE]. |
| Generic Hackathon Submission | Proposed NCCT Integrated Solution | Requirement Justification |
|---|---|---|
| Generic LMS website with standard YouTube video links. | Offline-First PWA LMS with local media caching and xAPI progress tracking designed for rural low-bandwidth conditions. | Requirement R3, R10 [PS] |
| Cloud-only face recognition using expensive 3rd-party APIs. | Offline-capable Edge Biometric Terminal (MobileFaceNet on device) with fallback QR verification. | Requirement R4 [PS] |
| Basic student table database. | Integrated ERP Architecture combining hostel room matrix, classroom scheduler, and institutional logistics. | Requirement R5 [PS] |
| Generic resume upload form. | Direct Recruiter Exchange linking verified NCCT skill certifications with cooperative bank and PACS job openings. | Requirement R9 [PS] |
| Plain text PDF certificate export. | Cryptographically Signed Digital Credentials with instant public QR verification registry. | Requirement R7 [PS] |
[ASSUMPTION] Student team will utilize a local laptop webcam and budget Android phone to simulate hardware attendance terminals during judging.[ASSUMPTION] Mock REST services will simulate National Cooperative Database integration without live production API credentials during the hackathon.[ASSUMPTION] Synthetic datasets of 500 candidate profiles and 50 job listings are sufficient to prove recruiter exchange value.[ASSUMPTION] Node.js and React PWA stack provides the fastest build speed and modularity for a 4-6 student team.[NEEDS VALIDATION] Exact API specifications and security token format for integration with Ministry of Cooperation's National Cooperative Database (cooperatives.gov.in).[NEEDS VALIDATION] Current hardware procurement policies at RICMs/ICMs for deploying edge attendance tablets.[NEEDS VALIDATION] Specific legal approval requirements from NCCT Governing Council for issuing W3C-compliant digital verifiable credentials.NCCT Nationwide Training Infrastructure & Operations
51st Directors' Conference of VAMNICOM/RICMs/ICMs
National Cooperative Database Portal & Statistics
PACS Computerisation Project Overview
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