Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
AI researcher and software developer building explainable computer vision and agentic AI solutions for agriculture.
An OpenCV 5 and AWS-powered agentic vision system that detects crop diseases, explains its predictions, and delivers actionable insights to help farmers protect crops and improve food security.
EfficientNetB0-CBAM with Grad-CAM++ for explainable potato leaf disease classification and climate-aware recommendation.
AI-based maize disease detection using VGG16, CBAM attention, Grad-CAM++ explainability, and environmental risk assessment.
AI-based mango disease detection using VGG16, CBAM attention, Grad-CAM++ explainability, and environmental risk assessment.
Machine learning-based Tigrinya grammar error detection using TF-IDF, Logistic Regression, Random Forest, and Linear SVM.
Crop Disease Diagnosis and Treatment Guide is an AI-powered agricultural application developed using AWS PartyRock. The system helps farmers and agricultural communities identify potential crop diseases and provides disease information, symptoms, and recommended treatment or management practices
An AI-powered learning hub built with AWS PartyRock to help learners understand Artificial Intelligence, Machine Learning, key concepts, algorithms, and practical applications.
AI-powered programming learning platform built with AWS PartyRock to help students and beginners learn programming concepts, coding techniques, and problem-solving skills in python.