To help you envision a top-tier submission, here’s a breakdown of a hypothetical winning project from a past "AI for Good" hackathon:

Project: "AI-Powered Crop Disease Detection"

• Problem Statement: Smallholder farmers in developing regions face crop losses due to undetected diseases, exacerbating poverty and food insecurity (SDG 1: No Poverty, SDG 2: Zero Hunger).
• Solution: A mobile app using computer vision to detect crop diseases from photos, providing farmers with real-time diagnoses and treatment recommendations.
• Innovation (20/20): Combined satellite imagery and on-ground photos for a multi-modal AI model, offering unprecedented accuracy in disease detection.
• Impact (25/25): Projected to increase crop yields by 15% for 10,000 farmers, directly reducing poverty and hunger.
• AI Use (25/25): Leveraged transfer learning on a custom dataset, with a focus on fairness across different crop types and regions.
• Business Feasibility (15/15): Partnered with local NGOs for deployment, with a freemium model for sustainability.
• Total Score: 85/85 (Note: This sample excludes Presentation and Teamwork categories as they were not requested in the query, but the project still shines in the core metrics.)