Race Against Time.
Take on ACE Hacks, the ultimate 24-hour coding challenge happening on March 26th & 27th, 2025! Solve real-world problems, showcase your skills, and compete for a ₹15,000 prize pool.
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Ace club of SRMIST Vadapalani Campus presents the 24-Hour Hackathon, Powered by knowlwdge partner Renault! Showcase your innovation through multiple rounds. Open to students from accredited institutions.
This year's hackathon will focus on leveraging Machine Learning to solve real-world problems. Problem statements will be based on Computer Science applications in the automotive industry and will be provided by Renault. Stay updated through our website and Unstop.
This year's hackathon challenges participants to develop innovative solutions using Machine Learning technologies. Problem statements will be based on Computer Science applications in the automotive industry and will be provided by Renault.
Submit a PPT with your Problem Statement and Proposed Solution using the provided template.
Deadline: March 21, 2025
Result Announcement: March 23, 2025
Download TemplateSubmit a design/prototype, including system architecture and technical details, using the provided template.
Deadline: March 21, 2025
Result Announcement: March 23, 2025
Download TemplateBuild your solution in 24 hours and present a working prototype at the end.
Start: March 26, 2025, 09:00 AM IST
End: March 27, 2025, 03:00 PM IST
Teams can choose from the following problem statements to develop their solutions:
Chatbot for investigating probable root causes for a vehicle issue using 8D / 5 Why / Fault Tree Analysis methods.
Convert any diagram or 2D drawing image into text using AI/ML.
Diagnostics Methods /Repair Hints for driver on car.
Owner's Manual Check with specifities and suggest voice outputs for any process flow.
Creating automative Pipe/Hose routing using gen AI/ML by prompts.
AI for Cad data check with between 2 versions or 2 revisions and provide report for differences.
Automated Digital car catalogue updating based on car video.
Identify Stress points in a 3D model using colour graph (in the Analysis of parts using any analysis software).
AI to detect Fuel GUN Insertion and fuel flow check at petrol stations for cars.
Reducing the process time to count quantities in images using AI.
Eliminate manufacturing defects (surface defects, coating defects, identify missing/misaligned components, oil fill level inspection, label inspection, welding/Soldering defects, wiring issues detection, paint quality detection…) using AI.
Detect any potential threats in cybersecurity in car and propose tentative solution using AI/ML.
All participants will receive certificates and networking opportunities with industry professionals.