ARCHIVES

The startup ecosystem is still growing effortlessly, but finding investors and startups in a trustworthy, efficient, and specific manner is still a constant challenge. Most of current platforms only provide minimal search and filter capabilities, which are inefficient and frequently neglect potential matches on either side. This paper introduces Startup Sphere, a full-stack web platform that uses the MERN stack (MongoDB, Express.js, React.js, and Node.js) to connect investors as well as businesses via a recommendation system based on artificial intelligence and machine learning. While investors receive intelligent, personalized recommendations that align with their specified interests and browsing behaviors, the platform provides businesses with a professional platform to present their concepts, milestones, and funding requirements. While investors receive intelligent, personalized recommendations that align with their stated preferences and browsing habits, the platform provides businesses with a professional platform to display their ideas, milestones, and funding requirements. Both parties can speak directly without ever leaving the platform due to an integrated messaging system. The design choices, system architecture, recommendation method, and initial testing results are explained in the paper. StartupSphere acts as an example of how machine learning and modern open-source web technology may be economically integrated to create an open and accessible digital investment ecosystem.