EVT-01 · Five stages to build winning AI solutions.
Data Hackathon
A high-intensity, time-bound build where data scientists, developers, and analysts collaborate to extract insights, train predictive models, and prototype data-driven solutions for a given problem statement and dataset.
Why join
- Tackle real-world educational challenges using cutting-edge AI and data science.
- Collaborate with the brightest minds and industry leaders.
- Gain hands-on experience and build solutions with real impact.
How it runs
Team Formation & Problem Understanding
Assemble a diverse team and study the challenge — define the scope, goals, and success metrics.
Data Preparation & EDA
Clean, process, and explore the dataset. Handle missing values and engineer valuable features.
Model Building & Training
Select the best-fit ML/AI algorithm, train the model, and begin hyperparameter tuning.
Evaluation & Validation
Validate accuracy on test data, iterate, and refine features, parameters, or algorithms.
Submission & Pitch
Submit final predictions to the leaderboard and present your solution and business insights to judges.
What you'll get
Eligibility: University, college, and school students (valid student ID required)