Pixel Pursuit

Hackathon Details

Pixel Pursuit is an AI-driven hackathon that brings together the power of computer vision and deep learning to solve real-world visual challenges. Designed to blend innovation with technology, the event encourages participants to think creatively while developing intelligent, data-driven solutions. It offers a platform for aspiring developers and researchers to explore the fascinating world of image processing, enhancement, and reconstruction through hands-on problem-solving.| The central theme of Pixel Pursuit revolves around Face Super-Resolution , where participants will work on reconstructing high-quality images from degraded or low-resolution data. This problem requires not just technical knowledge but also creativity, teamwork, and innovation. Through this challenge, students will gain deeper insights into neural networks, image restoration, and the application of AI in modern visual computing. The competition unfolds across three rounds . The journey begins with an online quiz , where participants demonstrate their understanding of machine learning and computer vision fundamentals. Based on performance, top teams will qualify for the offline hackathon, hosted at NSUT, where they will build deep learning-based super-resolution models from scratch. The final presentation and interview round allows shortlisted teams to present their projects before an expert panel, explaining their approach, architecture, and results. Pixel Pursuit emphasizes originality, collaboration, and technical integrity. All work must be developed within the hackathon timeframe, ensuring fairness and creativity. While participants can use open-source frameworks and datasets with proper acknowledgment, the core development must reflect the team’s unique effort and innovation. Projects will be evaluated using both quantitative metrics —PSNR, SSIM, LPIPS and qualitative criteria such as model innovation, clarity, documentation, and presentation. More than just a competition, Pixel Pursuit aims to foster learning, collaboration, and innovation among students passionate about artificial intelligence. It’s an opportunity to challenge conventional limits, enhance technical expertise, and connect with like-minded peers who share a passion for AI and visual computing.