Data Science Contest - Xpecto'26

Challenge: Participants are encouraged to use Altair RapidMiner, the Low Code No Code tool provided by Altair. Model File: Participants are encouraged to use datasets from Kaggle or any other source of choice. Objective: Develop solutions for data science problems using the Altair RapidMiner platform. Team Size: Solo Participation About Altair RapidMiner: Altair RapidMiner is a data science and machine learning platform that enables users to build, train, and deploy predictive models without extensive coding. It provides tools for data preparation, visualization, and AI-driven analytics, making it useful for businesses, researchers, and engineers in various industries. Altair also provides courses to help participants learn these tools and get certified, enhancing skill development and preparing them for industry-standard tools. As a Low Code No Code tool, students from all branches can learn data science basics and use these tools in their respective fields. Themes: Health: Analyze healthcare data to improve patient outcomes, optimize hospital operations, or develop predictive health models. Education: Utilize data to enhance learning experiences, improve educational outcomes, or develop personalized education plans. Energy: Investigate energy consumption patterns, optimize resource usage, or develop sustainable energy solutions. Agriculture: Use data to improve crop yields, manage agricultural resources, or develop innovative farming techniques. Green Economy: Analyze environmental data to promote sustainability, reduce carbon footprints, or develop green technologies. Open Innovation: Think of creative and cross-disciplinary approaches to solve any data-related challenge. Think out of the box! Note: All themes are marked equally without any bias. They are provided to give some ideas. Key Resources: Altair Data Science Solutions: Download Software, learn & certify at Altair RapidMiner Academy. Free Technical Support Forum: Altair Community Steps to install and activate Altair AI Studio: Steps to install and activate Altair AI Studio Free student edition license: https://web.altair.com/altair-student-edition Free educational license: https://web.altair.com/academic-hub-ai-studio Registration: All participants must fill this registration form and join the whatsapp group given in the form:https://forms.gle/6q3GttdUQ6UZLNft5 Submission Requirements: RapidMiner Session .rmp file Data set used Analytics PPT Video: Recording of the complete general process (5 to 10 minutes), post on YouTube, and share the link. If you're using AI Studio, while recording the video, be sure to mention that you are using the AI Studio from Altair RapidMiner Platform. Submission Instructions: Zip the contents. Rename the file as “IITMD_Yourname.zip”. A google form for submission will be updated here near the submission date. Data Sets: Students can download and work on any data set that aligns with their area of interest. ETL Process: If the data is unstructured, you can structure it using the Altair Monarch tool. Commercial-Grade License: The contest organizing team can request access to the commercial-grade license of Altair RapidMiner and get it installed in the lab. Important Dates: Registration Deadline: 15th April, 2026 Submission Deadline: 30th April, 2026