redBus Data Decode Hackathon 2025
About the Event
redBus Data Decode Hackathon 2025
The hunt for data champs is here- bigger, bolder, and on the road!
Are you ready to solve one of the most complex challenges in the travel industry? The redBus Data Decode - Data Science Hackathon 2025 invites all the Data Scientists, Analysts, and problem-solvers to tackle real-world business scenarios and showcase their analytical skills for a chance to win from a prize pool of ₹5,00,000 and earn interview opportunities with redBus.
About the Hackathon:
In the bus transportation industry, demand forecasting is more than just a pricing tool- it shapes marketing campaigns, discount strategies, SEO initiatives, and much more. The challenge? Less than 20% of bus bookings are made well in advance, leaving limited early signals to accurately predict demand. This makes forecasting highly complex and demands innovative, data-driven solutions.
This hackathon aims to forecast the number of travellers for a specific journey date, with a prediction window of 15 days in advance.
Why should you participate?
One of the most significant challenges in this domain is the unique nature of bus bookings, which tend to be highly concentrated closer to the departure date. To address the challenge, we are inviting the Data Science community to participate in our upcoming Hackathon.
Solve a real business problem:
- Tackle the unique challenge of forecasting demand with limited early data.
- Showcase your skills: Top solutions may earn a chance to interview with redBus.
- Collaborate and learn: Join individually or as a team (up to 5 members).
Your mission: Develop models and solutions that improve the accuracy of demand forecasting.
Who should participate?
- Students, professionals, and data enthusiasts, passionate about travel and analytics.
- Data scientists and analysts, eager to solve real-world forecasting challenges.
- Teams or individuals, ready to think creatively and compete for top ranks.
How to participate?
- You can participate individually or create a team.
- A maximum of 5 members can be part of a team.
- To invite teammates, they must also be registered for the Hackathon.
- Registration on the Analytics Vidhya platform alone is not sufficient - all teammates need to register for the Hackathon after logging into the platform with their email ID.
- Team participation is optional.
- Once you have created a team, you can’t be part of another team.
- You cannot leave/switch a team once joined.
- Leaders cannot dissolve the team they once created.
Prizes and eligibility:
- Only the Top 3 submissions from the Hackathon will be eligible for prizes.
- These winners will be selected based on their overall solution quality as per the evaluation criteria.
- ₹5,00,000 worth of prizes for the top 3 ranks:
- First Prize: ₹2,50,000
- Second Prize: ₹1,50,000
- Third Prize: ₹1,00,000
- Please note that if a team wins a prize, the prize money will be distributed among the team members.
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Spaces You Can Join
Data Science
Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!
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Generative AI
Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!
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Data Engineering
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Frequently Asked Questions
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There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
Depending on the type of competition, you can participate individually or in a team.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
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