Lena Mathew@Lena_Mathew

SkillSprint AI is an AI-powered career and internship mentorship platform created to help students become more industry-ready through personalized guidance and skill analysis. Many students struggle to understand what skills companies expect, how to improve their resumes, and what technologies they should learn next. SkillSprint AI addresses this problem by analyzing student resumes and generating personalized recommendations based on their current skill set and career goals. The platform can identify strengths and weaknesses in resumes, detect missing industry-relevant skills, generate detailed learning roadmaps, recommend portfolio projects, and provide mock interview preparation suggestions. The system creates tailored recommendations depending on the technologies and experience mentioned in the resume, making the guidance more practical and personalized compared to generic online advice. The project was developed using React, Vite, CSS, and IBM Bob during the IBM Bob Hackathon. The application focuses on creating a smooth and intuitive user experience with a modern AI-inspired interface. In the future, SkillSprint AI can be expanded with real AI API integrations, advanced PDF resume parsing, internship matching systems, LinkedIn integration, and personalized progress tracking to further improve student career development and mentorship.

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