A Survey on Skillsense:AI Career Analyzer App

Computer Engineering

In today’s employment landscape, a clear gap exists between the theoretical knowledge gained in academic institutions and the practical skills expected by industry. Many graduates have limited exposure to real-world problem-solving, industry tools, and applied technical experience, which affects their employability. To address this challenge, this paper introduces SkillSense, an ArƟficial Intelligence-driven career analysis application designed to evaluate individual profiles and provide meaningful insights for professional growth. The proposed system is developed using a modern web architecture that combines a React + Vite frontend for smooth and responsive user interaction with a Django-based backend for managing data processing and application logic. SkillSense makes use of the Gemini API to perform advanced Natural Language Processing (NLP) on unstructured resume data. It extracts, organizes, and interprets important details such as academic background, technical skills, and project experience, and converts them into a structured format suitable for further analysis. The application then performs a detailed skill gap analysis by comparing the extracted user data with current industry requirements. Based on this evaluation, SkillSense generates personalized and context-aware recommendations to help users improve their technical abilities and overall career readiness. These suggestions include structured learning paths, strategies for skill improvement, and project-based tasks that encourage hands-on experience. In addition, the system focuses on scalability, modular design, and ease of use, ensuring efficient data processing and smooth user interaction. By combining AI-based semantic analysis with a fullstack web framework, SkillSense offers an effective and automated solution to reduce the gap between academic learning and industry needs. This approach not only helps individuals make informed career decisions but also supports the development of a more skilled and industry-ready workforce.

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