Smart Career Guidance System using Machine Learning
Abstract: Numerous post-secondary graduates encounter a substantial quandary when determining their future trajectories. They confront the need for guidance in delineating a fitting vocational journey, amalgamating mental, psychological, and academic facets, along with other pivotal dimensions of their lives. Frequently, they solicit counsel from external sources, precipitating potential confusion or misguidance. To mitigate this predicament, our System was conceived, empowering students to autonomously navigate informed decisions sans third-party influence. Functioning as a pivotal platform, the System enables students to delve into their interests and unearth potential career trajectories congruent with their inclinations. By adeptly collating and scrutinizing pertinent data, the System employs machine learning methodologies to prognosticate students? proficiencies and deficiencies, facilitating the revelation of their domains of mastery.
Keywords: Decision Tree, Support Vector Machine, K Nearest Neighbors
How to Cite?: Sanil Gokarn, Sanskar Taware, Rujuta Vartak, "Smart Career Guidance System using Machine Learning", Volume 13 Issue 6, June 2024, International Journal of Science and Research (IJSR), Pages: 1140-1144, https://www.ijsr.net/getabstract.php?paperid=SR24612203820, DOI: https://dx.doi.org/10.21275/SR24612203820