Authors - Manikrao Dhore, Ayush Sasane, Amankumar Kumare, Aditya Kadlag, Gaurang Khanderay Abstract - Over the years, placement preparation has posed serious daunting problems to most of the engineering students, such as lack of efficiency with Applicant Tracking System (ATS); limited, unrealistic practice of interviews; scattered and often obsolete resources. Such a situation results in low selfesteem, misaligned applications for jobs, and ineffective preparation. Such problems are addressed by this paper, wherein SkillSage, an AI-based platform, is developed for closing these gaps with integrated modules such as resume optimization, mock interviews, job matching, and skills assessment. SkillSage applies advanced NLP models like GPT-4, Whisper API to provide personalized feedback, adaptive learning pathways, and real-time speech-to-text simulation for interviews. ATS compliant resume scoring, skill-based job suggestions, and AI quizzes are additional features. Early evaluation results have shown considerable improvement in interview performance, acceptance of resumes, and job-skill matching accuracy. In this way, SkillSage provides the entire intelligent solution to address the gap between what academia prepares students for and what the industry expects.
Tuesday August 25, 2026 2:00pm - 3:30pm IST Board Room 1Taj Cidade de Goa Horizon, Goa, India
