MANIT
📍 NIT, Bhopal
TechnicalTechTrack Case Battle 3.0 is a real-world technical challenge focused on Electric Vehicle (EV) Range Prediction. Participants will use a provided EV specification dataset to develop a regression-based machine learning solution for predicting vehicle range. The challenge evaluates the complete machine learning workflow, including data cleaning, exploratory data analysis, feature engineering, model development, evaluation, reproducibility, documentation, and an interactive demonstration. The dataset contains static EV specifications and does not include trip-level data such as traffic, weather, HVAC usage, State of Charge, or State of Health. The problem therefore focuses on specification-based EV range prediction.
Competition Structure: Round 1: Teams will analyse the dataset, build their regression solution, and submit technical documentation and a working demonstration by 4 September 2026. Round 2: Shortlisted teams will present and demonstrate their solutions before the jury at MANIT Bhopal on 9 September 2026. Evaluation will consider data analysis, feature engineering, machine learning approach, prediction performance, innovation, implementation, documentation, reproducibility, and the team’s ability to explain their solution. Rewards: • Cash prizes worth Rs. 30,000 • Paid internship opportunities for the top three teams • Certificates for shortlisted finalists • Opportunity to present before an expert jury Key Dates: Problem Statement Release: 25 August 2026 Submission Deadline: 4 September 2026 Shortlist Announcement: 5 September 2026 Offline Finals: 9 September 2026 Analyse. Predict. Innovate. Compete.
Important dates
Registration opens
24 Aug 2026
Registration closes
4 Sep 2026
Event starts
4 Sep 2026
Event ends
9 Sep 2026