Quality assessment and grading of onions are often subjective and vary across procurement centers, resulting in disputes and inconsistencies.
Ministry of Consumer Affairs, Food & Public Distribution
Official Description
Expected Solution: Develop an AI-based mobile application that:
• Uses image processing to assess onion quality.
• Identifies damaged, rotten, sprouted, or undersized onions.
• Estimates Grade A and URS percentages.
• Generates a digital quality report instantly.
• Reduces human bias and improves transparency.
Official Hackathon Facts
Theme / DomainFitness & Sports
Track TrackSoftware
Submission Deadline20 September 2026
Ideas Registered0/500
✨ SIH Fit Analysis
Estimated DifficultyIntermediate
Social Impact Score (2/5)
🚀 Advanced Technology
Primary Tech AreaComputer Vision
Technology Stack Tags
Computer VisionMobile Development
Suggested Skills
OpenCVFlutter / React Native
✦ Why This Problem is Interesting
Combines Computer Vision with the problem domain, creating a technically focused solution opportunity.
* Note: SIH Fit Analysis contains derived ratings and classification schemas generated to aid team selection; these are not official ratings from the Smart India Hackathon organizers.