Siemens : Data Science Contest - Xpecto'26

Event Overview: Event Name: Siemens Data Science Contest Event Platform: Xpecto’26 Organizer: IIT Mandi Mode: Online Event Type: Data Science & AI Hackathon Total Prize Pool: ₹25,000 The Siemens Data Science Contest is a hackathon designed to challenge participants to create data-driven intelligent applications by combining AI-powered analytics with modern application development platforms. Participants will develop innovative solutions using data analysis, predictive modeling, and intelligent decision-making techniques to address real-world challenges. The detailed problem statement will be revealed at the start of the hackathon, after which teams will ideate and build their solutions. Team Formation: Teams can have 1–4 members Solo participation is allowed Technology Requirements: All teams must mandatorily use the following technologies: RapidMiner: Used for data preprocessing, exploratory data analysis, and predictive modeling. Mendix: Used for building the application interface, dashboards, and decision-support workflows. The final solution must clearly demonstrate: Data analytics capabilities A functional application layer integrating both technologies Timeline: Problem Statement Reveal: 13 March (End of Day) Final Submission Deadline: 31 March - End of Day The detailed rulebook and submission format will be shared after the problem statement release. Submission Mode: All submissions will be conducted online Final Submission Guidelines: Teams must submit the following: Final Code Repository Project Presentation (Idea, Tech Stack, Credits for Tools Used) Short Video Demo explaining and showcasing the project Problem statement when released will be updated here on Unstop Final submissions will be hosted on GitHub. Detailed submission instructions will be shared via the official communication channels. Evaluation Criteria: Projects will be evaluated based on: Innovation and clarity of problem definition Effective use of AI and data analytics Integration of RapidMiner and Mendix Technical robustness and modeling approach Practical usability and scalability of the application Communication & Updates: Participants must join the official WhatsApp group for updates and announcements. Whatsapp Group: Link For any queries, Contact: Shubh - 6265302620