Opportunity brief
About the Competition
Step into the world of Artificial Intelligence and Machine Learning with Data Dive, where participants analyze real-world datasets, build predictive models, and uncover meaningful insights. This challenge is designed to test your analytical thinking, programming skills, and ability to solve practical problems using AI and ML techniques.
Whether you're an AI enthusiast or a budding data scientist, this is your opportunity to showcase your skills in a competitive environment.
Eligibility
- Open to all students.
- Team Size: 1–2 members.
Event Format
The competition will be conducted in one round.
- Participants will receive a problem statement and dataset at the beginning of the event.
- Teams must analyze the data, build an appropriate Machine Learning model, and generate meaningful insights.
- At the end of the competition, teams will present their approach, model, and results before the judges.
Evaluation Criteria
Teams will be evaluated based on:
- Data analysis and preprocessing
- Model selection and implementation
- Accuracy and performance
- Interpretation of results
- Presentation and explanation
Rules
- Team size must be 1–2 participants.
- Participants may use Python and any standard Machine Learning libraries.
- Only the dataset provided during the event may be used.
- Participants must be able to explain their methodology and model.
- Plagiarism or unfair practices will result in immediate disqualification.
- The decision of the judges will be final.