Hack ML 2026 at YCCE Nagpur
Yeshwantrao Chavan College of Engineering, Nagpur
📌About the Event
Hack ML 2026 is a machine learning-based technical challenge organised as part of Compufest 2K26, the annual technical festival of the Department of Computer Technology at Yeshwantrao Chavan College of Engineering, Nagpur. The competition invites participants to apply their artificial intelligence, data science and machine learning knowledge to develop innovative and intelligent solutions. It provides students with an opportunity to demonstrate their ML development, problem-solving and model-building skills in a competitive on-campus environment.
ℹ️ Event Details
- Event category: Machine Learning Hackathon
- Technical domain: Artificial Intelligence, Machine Learning and Data Science
- Festival: Compufest 2K26
- Mode of conduct: Offline or on-campus
- Venue: Yeshwantrao Chavan College of Engineering, Nagpur
- Organising department: Department of Computer Technology, YCCE Nagpur
- Event objective: Participants will develop innovative solutions using machine learning technologies.
📅 Important Dates
- Compufest 2K26 start date: 6 August 2026
- Compufest 2K26 end date: 8 August 2026
- Hack ML event date: 6 August 2026
🎯 Eligibility & Rules
- Who can participate:
- Hack ML is primarily designed for college students and technology enthusiasts interested in artificial intelligence and machine learning.
- Participants should have basic knowledge of Python, data preprocessing, machine learning algorithms or model development.
- Students from computer science, computer technology, information technology, AI, data science and related disciplines may find the competition especially relevant.
- The official Compufest page does not currently specify restrictions related to academic year, degree, college or branch.
- Participants may be required to carry a valid college identity card for entry to the YCCE campus.
- Participants will be expected to develop a solution using machine learning.
- The solution should address the problem statement or dataset provided by the organisers.
- Teams should submit or demonstrate their work within the specified competition duration.
- Participants should be prepared to explain their data preparation, feature engineering, model selection and evaluation approach.
- Any code, dataset or pretrained model used should comply with the instructions provided by the organisers.
- Plagiarised or copied submissions may be disqualified.
- The decision of the organising committee and judging panel will be final.
🏆 Benefits for the Participants
- Total prize pool: ₹3,000
- The prize may be awarded to the best-performing participant or team.
- The official website has not announced a winner-wise prize distribution.
- Information regarding participation certificates, merit certificates, goodies or other incentives has not been separately published.
- Participants will also gain hands-on experience in solving an ML problem under competitive conditions.