About the challenge
The Random Forest hack is an open community for high school students curious about data and ML. We explore topics like Python/Java programming, data computations, and ML algorithms in a fun and collaborative way. Whether you're new to coding or already a pro, our goal is to invite you to solve community problems using data and ML
We keep things interesting with hackathons, learning tracks, and friendly competitions that build teamwork and creative problem-solving. Join us to learn, experiment, and get inspired by the possibilities of technology and data. This is a great way to geek out with friends over cool data and ML projects!
Get started
Don’t know how to code? No problem! We’ll host workshops on Data, ML, and DevOps. Don’t have a team? Upon registering, you’ll join our Discord server to connect with others and form your team. Let’s build together!
Requirements
What to Build
Be the change in your community. Harness the power of data to address local problems faced by students by developing tools to optimize education, support local businesses, or boost sustainability. Your insights could lead to real-world impact.
What to Submit
Your goal is to create a data/ML-based application benefiting your school or community. Ensure it addresses a specific problem, uses data/ML for actionable insights, and is user-friendly. Make it engaging with visualizations (charts, graphs, dashboards) and interactive features to inform and impact your target audience effectively.
Prizes
1st Place
2nd Place
3rd Place
Originality
Innovative
Data Driven
Inclusion and Teamwork
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Priya Pattathil
Sr. Executive, Thermo Fisher Scientific
Pramila Srinivasan
CEO, Charmhealth
Vrishti Gulati
Sr. Data Scientist, LinkedIn
Nithish Kumar Jangala
Technical Architect, Experian
Teja Rachakonda
Sr. Software Engineer, Experian
Sanshit Sharma
Sr. Software Engineer, Amazon
Ishwar Chowdhury
Senior Member of Technical staff, Charmhealth
Rathi Kashi
Senior Member of Technical staff, Charmhealth
Bhavya Bellannagari
Columbia University
Madhuri Pokala
Full-Stack Engineer, Experian
Manju Keshavagari
SME Analog Devices
Vara Biruduraju
Sr. Data Engineer, Yahoo!
Joshua Thomas
UC, Berkeley
Judging Criteria
-
Originality (25 Points)
Your project should present a unique idea or approach, Creativity and fresh perspectives will score highly here. -
Social Impact & Sustainability (25 Points)
Assess the potential benefit or change your app could bring to your school or local community. Solutions with measurable, positive outcomes will score well. -
Data/AI/ML Usage (25 Points)
Deliver clear, actionable insights with intuitive visualizations (graphs, dashboards) and interactive features. Bonus for effective AI/ML data computations, focusing on model accuracy, efficiency, and sophistication. -
Execution, Inclusion, Teamwork (25 Points)
Evaluate the team's delivery of a functional, technically feasible solution. Assess teamwork, inclusion, and effective use of each team member's skills. Key factors include collaboration, adaptability, and equitable participation.
Questions? Email the hackathon manager
Tell your friends
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
