Algorush 2.0 showcased outstanding coding talent as participants engaged in 24 hours of non-stop development. Teams focused on building real-world solutions using a variety of technologies, including Python, JavaScript, Node.js, React, TensorFlow, and cloud platforms. Problem statements spanned domains like AI/ML, web development, IoT, and data analytics, pushing participants to apply advanced coding concepts and optimize performance under time pressure.
Evaluated the code quality, modularity, documentation, and innovation. Top teams delivered clean, well-structured code with effective use of frameworks and libraries. Code reviews revealed good practices such as code reusability, meaningful comments, and error handling mechanisms.
The sessions helped refine codebases, optimize logic, and debug complex issues. The final code submissions highlighted participants' ability to work with real-time constraints and deliver deployable prototypes. Overall, Codeathon was a powerful demonstration of how focused, collaborative coding can solve real-world problems efficiently and creatively.
KPRIET – An AI Integrated Campus
Preparing future-ready engineers with AI-integrated teaching and learning. KPRIET integrates Artificial Intelligence across teaching, learning, research and innovation to create a smarter, future-ready campus experience for students and faculty.
