Education improves thinking abilities, cognitive skills, problem-solving, and optimism, but students often struggle with emotional issues like anxiety and depression along with the academic issues. To better understand their behavior, a survey conducted to create awareness and improve learning quality in enhancing the livelihood of students. Knowledge Engineering and Ontologies are used to create knowledge graphs using Web Ontology Language and building relationships among entities. The system incorporates student-centric information, academic records, extracurricular achievements, social, economic state of a student and career-related data, all represented in RDF format. Data Visualization helps to analyze and connect data through the graphs, generating individual summaries and providing recommendations for students based on their personas, academics, SWOT analysis, reasoning, and extracurricular activities.