PS 26034SOFTWAREAgriculture, FoodTech & Rural DevelopmentFast Prototype (36h)

Software System to check compliance of Packaged Commodities under Legal Metrology(Packaged Commodities) Rules, 2011 by scanning products, images and labels.

Ministry of Consumer Affairs, Food & Public DistributionDepartment of Consumer Affairs (DoCA)
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30-Second Plain English Summary

E-commerce platforms and retail stores in India frequently violate the Legal Metrology (Packaged Commodities) Rules, 2011 by omitting mandatory declarations (Country of Origin, Best Before Date, Net Quantity, MRP, Manufacturer details). Build an automated AI compliance crawler and mobile consumer verification app that uses Computer Vision and NLP to audit packaged goods listings and physical labels for statutory Legal Metrology violations.

5-Dimension Strategic ScorecardOverall Score: 3.9 / 5.0
Innovation
4 / 5
36h Feasibility
4.3 / 5
Uniqueness
3.7 / 5
Jury Appeal
3.8 / 5
Tech Depth
3.8 / 5
Recommended System Architecture Pipeline
Mobile Photo / E-Commerce URL -> Indic OCR & LayoutLM Extractor -> Legal Metrology Rule Validator -> PostGIS Violation Store -> Officer Enforcement Console
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Official Government Problem Description
Background: Packaged commodities are widely sold through retail stores, supermarkets and e-commerce platforms across India. Under the Legal Metrology Act, 2009 and the Legal Metrology(Packaged Commodities) Rules, 2011, every packaged commodity is required to bear mandatory declarations such as name and address of manufacturer/packer/importer, net quantity, Maximum Retail Price (MRP), month and year of manufacture/packing/import,consumer care details and other prescribed declarations in a specified format and manner.These declarations are important for ensuring transparency, fair trade practices and consumer protection. However, due to the large volume and variety of packaged products available in the market, manual inspection and compliance checking by enforcement agencies becomes time-consuming and resource intensive. Non-compliance such as missing declarations, incorrect font sizes, improper MRP declarations and other such practices are frequently observed.There is scope to develop a compliance checking system capable of scanning product labels,package images and product listings to identify violations under the Legal Metrology(Packaged Commodities) Rules, 2011. Accordingly, a software system capable of automatically detecting, extracting and validating mandatory declarations and identifying noncompliances in packaged commodities through image and label analysis can be developed. Description: Develop a software application capable of scanning packaged commodity labels, product images and product information to automatically assess compliance with the Legal Metrology(Packaged Commodities) Rules, 2011. The system should be capable of: • Scanning and analyzing images of packaged commodities. • Detecting mandatory declarations prescribed under Legal Metrology rules. • Checking correctness, completeness and placement of declarations. • Identifying missing or non-compliant declarations. • Checking readability and font size requirements. • Generating compliance reports and violation summaries. • Maintaining a repository of scanned products and compliance history. • Providing dashboards for enforcement officials. Expected Solution: The proposed solution should include: • User-friendly web and/or mobile-based software application. • Automated extraction and validation of mandatory declarations. • Rule-based compliance checking for Legal Metrology (Packaged Commodities) Rules, 2011. • Generation of digital compliance reports in PDF and editable formats. • Dashboard for monitoring inspections, violations and product compliance details. • Search and retrieval facility for previously scanned products and reports. • Technical documentation describing software architecture and deployment framework. Key Functional Requirements: • Image upload and product scanning functionality. • Extraction of declarations from labels and packaging and detection of mandatory declarations • Font size and readability analysis. • Detection of missing, misleading or non-standard declarations. • Generation of compliance/non-compliance reports. • Attachment of photographs and supporting evidence. • Repository of scanned products and inspection history. • Role-based user access and secure authentication. • Dashboard for monitoring compliance status and enforcement activities. • Export of reports to PDF and editable formats.
AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26034: "Software System to check compliance of Packaged Commodities under Legal Metrology(Packaged Commodities) Rules, 2011 by scanning products, images and labels.", Ministry: Ministry of Consumer Affairs, Food & Public Distribution. Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26034)

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