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.

πŸš€ What makes this hackathon special:

  • Beginner-friendly environment
  • Focus on real-world impact
  • Flexible approach (ML not mandatory)
  • Opportunity to showcase your project

Requirements

πŸ“¦SUBMISSION REQUIREMENTS 

Participants must submit the following:

  • Project Title
  • Description of the problem and solution
  • GitHub Repository (with code)
  • Demo Video (2–3 minutes explaining the project)
  • (Optional) Deployed Prototype (if available)

πŸ“Œ 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

Hackathon Sponsors

Prizes

3 non-cash prizes
Winner – 1st Place
1 winner

Certificate of Excellence + Featured Project Showcase

Runner Up – 2nd Place
1 winner

Certificate of Achievement + Recognition

2nd Runner Up – 3rd Place
1 winner

Certificate of Achievement

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

CHARUL SAHU

PRUDHVI NAAYINI
Independent Researcher ,Texas,USA

SRINATH GOPINATH

SRINATH GOPINATH
Reliability Engineer

SURYA RAO R
Lead Software Engineer and Project Manager

PRANEETHA KOTLA

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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