RiDE Ideathon (PG) - TVS Motor

RiDE Ideathon (PG) - TVS Motor is a national-level engineering innovation challenge designed exclusively for engineering students across premier institutes.

This competition provides a platform to apply your technical knowledge, creativity, and problem-solving skills to real-world automotive and mobility challenges. By participating, you will gain the opportunity to interact with experts from the industry, develop practical engineering solutions, and win exciting rewards for your innovative ideas.

Eligibility Criteria:

• Team size: Total of 3 members.
• We would appreciate at least 1 female team member in each team.

- Open to 1st-year students of the 2-year M.Tech full-time program(2026-2028 batch). - Students from the specified specialisation and related specialisations should apply only. - Problem Statements 1 and 2 will be assigned only to the specialisations mentioned below. Students must form their teams accordingly.

Problem Statement 1

• AI-Assisted Robust SOC Estimation for LFP Batteries Using Coulomb Counting and Event-Based Voltage Correction
• Specialisation: Engineering Analysis & Design, Solid Mechanics, Fluid Mechanics, Robotics, Computer Science & Engineering, AI/ML and Computational Engineering, Intelligence System, Computer Systems, Control and Automation, Integrated Electronics & Circuits, Computer Technology, Power Systems, Power Electronics, Electrical Machines & Drives, Electric drives & Power Electronics, Systems and Control, Instrumentation and Signal Processing, Control & Computing, Electronic Systems, Electronic System Design & Instrumentation, Industrial Engineering, Mechanical Design, Thermal Engineering, Thermal and Fluids Engineering, Design Engineering, Electric Mobility, Artificial Intelligence, Mechanics and Design, Integrated Design and Manufacturing, Thermo-Fluid Engineering, Robotics and Intelligent Systems, Aerospace Engineering, Propulsion, Aerodynamics, Flight Control, Structures
• Suggested Skills: Python, MATLAB, EV, Li-ion battery, Basics of Machine Learning

Problem Statement 2

• Develop an installable AI-powered Research Assistant that integrates with the Zotero desktop application, Scopus APIs, other scholarly literature APIs, and internet search. Based on a user's research query, the assistant should retrieve relevant papers from the user's Zotero library and external sources, synthesize the findings, and provide a refined, evidence-based response with traceable references.
• Specialisation: Artificial Intelligence, Cyber Security,  VLSI Design Tools & Technology, Robotics, Computer Science & Engineering, Network & Information Security, AI/ML and Computational Engineering, Computer Systems, Intelligence System, Theoretical Computer Science, Artificial Intelligence & Data Science, Electrical and Electronics Engineering and other engineering streams only if there is strong programming and AI/ML exposure.
• Suggested Skills: Python or equivalent application development, Desktop application development, API integration, Zotero API/plugin integration, Scopus and scholarly database APIs, Information retrieval and semantic search, Natural language processing, Large Language Models, Retrieval-Augmented Generation (RAG), Embeddings and vector databases, Prompt engineering, Citation/reference management, Web search integration, Database management, UI/UX, Responsible AI

Team Formulation Guidelines:

• Each team must choose a name for their team.
• It is the team leader's responsibility to ensure that all the team members are eligible to participate in the contest.
• Violation of the eligibility criteria or team constitution will automatically disqualify the team.
• TVS Motors reserves the right to check the validity of the registration information submitted at any point in time.
• Modification of team members post-registration will not be allowed.
• There is no restriction on the number of teams from a particular institute.
• Cross-campus teams are not allowed.
• Cross-specialisation teams are allowed.
• One person can't be a member of more than one team.

Eligible Campuses

• Indian Institute of Technology (IIT), Bombay
• Indian Institute of Technology (IIT), Delhi
• Indian Institute of Technology (IIT), Guwahati
• Indian Institute of Technology (IIT), Hyderabad
• Indian Institute of Technology (IIT), Kanpur
• Indian Institute of Technology (IIT), Kharagpur
• Indian Institute of Technology (IIT), Madras
• Indian Institute of Technology (IIT), Roorkee

Competition Structure:

Online Assessment

• The Team Leader must complete the assessment in 30 minutes.
• The assessment consists 20 multiple-choice questions in 30 minutes.
• Teams will be ranked based on the final score and the time taken to complete the assessment. In case of a tie in scores, the team that finishes earlier will be ranked higher. Based on overall performance, select teams will progress to the next stage of the competition.
• The results of the assessment will be announced within 1-2 days after the round concludes.

Executive Summary Submission

• Teams to propose a solution(s) and showcase the problems they will be addressing through their proposed solutions. Any references should be given due credit. You can use your creativity to make the best presentation and submit it in PPT and PDF format.
• It should have 3-5 slides of presentation.
• The size of the PPT should not be more than 20 MB.
• The participating teams in this round will move on to the next level based on their performance.

Detailed Submission

• Shortlisted teams from the Executive Summary Submission round will move to this round.
• In this round, the teams will be required to submit a detailed version of their previous submission.
• You can use your creativity to make the best presentation and submit it in PPT and PDF format.
• It should have 10-12 slides of presentation.
• The size of the PPT should not be more than 20 MB.

Grand Finale

- National Finalists will present their analysis & proposed solution to the problem statement, covering problem understanding, solution framework, demonstrating innovation, technical depth, and feasibility, before the jury panel.

Rewards and Prizes:

• The winning team will be rewarded with a cash prize of INR 1,00,000 per problem statement
• The runner-up team will be rewarded with a cash prize of INR 50,000 per problem statement
• Participation Certificates
• Stand a chance to win PPI opportunities*

*Selected individuals stand a chance to grab PPIs based on their project performance and outcome, individual contribution, prevailing business requirements, and their application and profile fitment for roles posted during campus recruitment.