Welcome to the Predict4Good Hackathon β a beginner-friendly online hackathon focused on building predictive or data-driven solutions that improve daily life and contribute to social good.
This hackathon is designed for students who want to explore real-world problem solving using technology. Whether you're new to machine learning or prefer simple logic-based systems, this is your chance to build something meaningful.
Participants are encouraged to create solutions in areas such as health, environment, education, and daily productivity. The goal is to use data and prediction to make a positive impact.
π What makes this hackathon special:
- Beginner-friendly environment
- Focus on real-world impact
- Flexible approach (ML not mandatory)
- Opportunity to showcase your project
Requirements
Participants must submit the following:
- Project Title
- Description of the problem and solution
- GitHub Repository (with code)
- Demo Video (2β3 minutes explaining the project)
- (Optional) Deployed Prototype (if available)
π Guidelines:
- The project must be built during the hackathon period
- You may use open-source tools and libraries
- You are free to use datasets available online
- Clearly explain how your solution uses prediction or data
Prizes
Winner β 1st Place
Certificate of Excellence + Featured Project Showcase
Runner Up β 2nd Place
Certificate of Achievement + Recognition
2nd Runner Up β 3rd Place
Certificate of Achievement
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
CHARUL SAHU
PRUDHVI NAAYINI
Independent Researcher ,Texas,USA
SRINATH GOPINATH
Reliability Engineer
SURYA RAO R
Lead Software Engineer and Project Manager
PRANEETHA KOTLA
Lead Robotic Process Automation Developer, ERP Smartlabs
Judging Criteria
-
Problem Relevance
How well does the project address a real-world problem or contribute to social good? The solution should be meaningful and impactful. -
Prediction Logic / Idea
How effectively does the project use prediction or data-driven logic? This can include simple logic-based systems or basic machine learning approaches. -
Implementation
How well is the project built? This includes functionality, code quality, and whether the solution actually works as intended. -
Creativity
How unique and innovative is the idea? Does the project present a new or interesting approach to solving the problem? -
Presentation
How clearly is the project explained? This includes the demo video, clarity of explanation, and overall presentation of the idea.
Questions? Email the hackathon manager
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