SkillMatch: ML-Based Career Path Predictor for School Students
| dc.contributor.author | Dikshyaa Satapathy -1NH22CE010, Heema sharma -1NH22CE013, Swati shastri -1NH22CE057, Madhu shivanand hosakoti-1NH22CE024 | |
| dc.date.accessioned | 2026-02-06T04:55:42Z | |
| dc.date.available | 2026-02-06T04:55:42Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Career guidance, as a discipline, has been heavily influenced by changes in the tech world and the use of data analytics over the last few years. Students who are about to finish their secondary education and enter the world of either higher studies or jobs, usually face a lot of confusions about which way to choose. This problem is even more notable in the educational systems like India ones, where the decision made at the 10th-grade level determine streams (e.g., Science, Commerce, or Arts), choices at the 12th-grade level point to undergraduate fields, and degree-level assessments lead to job roles. The Career Prediction System, as elaborated in this document, is basically a machine learning solution that can effectively work towards reducing intricacies by taking into account a variety of inputs by the user such as academic performance,personal interests, skills, and behavioral traits, hence providing the most appropriate suggestions. | |
| dc.identifier.uri | http://192.168.75.5:4000/handle/123456789/20920 | |
| dc.language.iso | en | |
| dc.publisher | New Horizon College of Engineering | |
| dc.title | SkillMatch: ML-Based Career Path Predictor for School Students | |
| dc.type | Learning Object |