TechTrack 3.0

Overview TechTrack Case Battle 3.0 is a real-world technical challenge designed to test participants’ ability to understand complex engineering problems and develop practical, data-driven solutions. This year, participants will work on an Electric Vehicle (EV) Range Prediction problem, using a supplied EV specification dataset to develop a complete regression-based machine learning solution for predicting vehicle range. The challenge focuses not only on the final model but on the complete machine-learning workflow, including data cleaning, exploratory data analysis, feature engineering, model development, evaluation, reproducibility, documentation, and a working interactive demonstration. The dataset consists of static EV specifications and does not contain trip-level telemetry such as traffic conditions, weather, HVAC usage, State of Charge (SoC), or State of Health (SoH). Therefore, the challenge specifically focuses on specification-based EV range prediction rather than real-time range estimation. Eligibility TechTrack Case Battle 3.0 is open to: Undergraduate and postgraduate students across India. Students from different colleges and academic branches. Cross-college and cross-branch teams. Participants who are members of only one team. Competition Structure Stage 1: Problem Statement Release The detailed EV Range Prediction problem statement, along with the required dataset and challenge guidelines, will be released on 25 August 2026. Participants will analyse the given dataset and develop a suitable machine-learning approach to solve the problem. Round 1: Documentation & Solution Submission Teams will develop their complete regression solution and submit their documentation within the prescribed deadline. The submission should demonstrate: Data cleaning and preprocessing Exploratory data analysis Feature engineering Model development Model evaluation Reproducibility Technical documentation Working interactive demonstration Submission Deadline: 4 September 2026 Submissions will be evaluated, and shortlisted teams will qualify for the final round. Round 2: Offline Finals The shortlisted teams will present and demonstrate their solutions before the jury in the offline final round at MANIT Bhopal. Teams will be evaluated on their understanding of the problem, quality of data analysis, machine-learning approach, prediction performance, innovation, implementation, documentation, and ability to explain and defend their solution. Date: 9 September 2026 Venue: MANIT Bhopal General Rules & Guidelines Cross-college and cross-branch teams are permitted. A participant can be part of only one team. Teams cannot be modified after registration. All submitted work must be original. Participants must use the provided dataset and follow the challenge guidelines. Solutions must be reproducible and properly documented. Participants must adhere to the specified submission deadline. The organizers reserve the right to verify the authenticity and eligibility of submissions. The decision of the jury and organizers shall be final and binding. Rewards & Opportunities Cash prizes worth ₹30,000 Paid internship opportunities for the top three teams Hands-on experience with a real-world EV data science problem Opportunity to showcase solutions before an expert jury Exposure to machine-learning applications in the electric-vehicle domain Certificates for shortlisted finalists Key Dates Problem Statement Release: 25 August 2026 Round 1 — Documentation & Solution Submission: 4 September 2026 Round 1 — Shortlist Announcement: 5 September 2026 Round 2 — Offline Finals: 9 September 2026 Analyse. Predict. Innovate. Compete.