SIH26031 · Ministry of Consumer Affairs, Food & Public Distribution
Quality assessment and grading of onions are often subjective and vary across procurement centers, resulting in disputes and inconsistencies.
💡 Before you commit — think it through
GuidedHow is this solved today?
List the current tools/products/manual methods people use for this. Judges want to see you know the landscape.
Where's the real gap?
What do today's solutions get wrong or miss? That gap is your opening.
Who actually feels this?
Name a real person or place near you affected by this. Plan to talk to them.
What would make yours different?
One angle no other team would take. This is what wins the pitch.
The problem
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.