Assessfy Pvt. Ltd Moderate 5 milestones 100 marks

Aadhaar OCR + KYC Verification Workflow

Target year: TE Sem 5-6 (Mini-Project-IIA/IIB) AICTE: 3 credits · ~75 hrs Bloom: Analyze MU CBCS: CSC602/CSC702 Mini-Project 2A/2B Powered by: AI Products Factory (Aarakshak UIDAI)

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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About this project

Build a KYC pipeline that takes a photo/scan of an Aadhaar card, extracts structured fields (name, DOB, gender, 12-digit Aadhaar number) via OCR, validates the Verhoeff checksum on the Aadhaar number, masks the first 8 digits per UIDAI guidelines, and emits a clean JSON for downstream verification. Aligns with Aarakshak's UIDAI AUA framework integration.

Course Learning Outcomes (CLOs):
CLO1: Apply image preprocessing to improve OCR accuracy.
CLO2: Implement OCR-based structured field extraction.
CLO3: Validate Aadhaar numbers using the Verhoeff checksum algorithm.
CLO4: Apply UIDAI masking and privacy guidelines.
CLO5: Design a production-grade REST API with error codes + audit logs.

Industry/societal relevance: Every Indian fintech (Paytm, PhonePe, CRED, Zerodha) needs Aadhaar OCR for KYC onboarding. Direct B2B SaaS opportunity. Aarakshak provides UIDAI AUA-framework alignment — your project sits at this exact layer.

Milestones

1. Sample Aadhaar Collection

10 marks 7d

Collect 20 demo Aadhaar images (use generated samples or your own — never store real ones in repo). Document privacy policy.

2. Image Preprocessing

20 marks 12d

Implement deskew + denoise + adaptive thresholding. Visual A/B vs raw input.

3. OCR + Field Extraction

25 marks 18d

Run EasyOCR. Use regex to extract name / DOB / 12-digit number. Handle Devanagari for Hindi-side text.

4. Verhoeff Checksum + Masking

20 marks 14d

Implement Verhoeff. Mask first 8 digits in returned JSON. Reject if checksum fails.

5. REST API + Test Suite

25 marks 14d

Wrap in FastAPI. 10+ unit tests. OpenAPI docs. 8-page report.

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Aadhaar OCR + KYC Verification Workflow

AI Products Factory · Remote · 12w

Certificate of Completion 2 of 2 seats

Build an Aadhaar OCR API for the Aarakshak KYC workflow — production-grade, masking-compliant, UIDAI-rules-aware. You will own the document-image pipeline en...

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Skills you'll learn

PythonOCR (Tesseract / EasyOCR / PaddleOCR)Image preprocessing (deskewdenoise)Regex / pattern matchingVerhoeff checksum algorithmUIDAI masking rulesREST API

Tools used

Python 3.11EasyOCR or PaddleOCROpenCV for preprocessingFastAPIPillowPostman for API testingGitHub

Prerequisites

Python intermediate; one OCR library experience helpful; understanding of regular expressions

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