Development of a skill-Based peer discovery system in academic environments, students are encouraged to work on innovative projects, ranging from mobile applications to hardware prototypes. Currently, there is no centralized system for students to discover and connect with peers based on specific technical expertise. This leads to several critical issues: Students with great ideas often abandon them because they lack the specific technical knowledge to execute certain parts of the project.Discovery Barriers: Highly skilled students often remain "hidden" within the campus because there is no public directory of their capabilities. Students often work on creative projects that call for interdisciplinary expertise in contemporary academic settings. Finding compatible collaborators with the necessary technical know-how is still very difficult, though. The design and implementation of a skill-based peer discovery system, a web-based platform that allows students to find, connect, and work together with peers based on their interests, skills, and project requirements, is presented in this research study.The suggested approach makes it easier to organise teams for projects, hackathons, and academic activities by utilising student profiles, skill classification, search filters, and collaboration tools. HTML, CSS, JavaScript, Node.js, Express.js, and MySQL are used in the system's development. The platform fosters student creativity lowers obstacles to collaboration and increases peer visibility. AI-based suggestions, cross-campus cooperation, and gamification elements are some of the upcoming improvements.