Guiding Students to Their Future Paths Through Website

This paper presents a smart and interactive web-based platform designed to assist students in choosing suitable career paths. Using AI-driven assessments, the system evaluates a student’s strengths and preferences across various domains and provides personalized recommendations. Key features include domain-specific testing, an AI-powered chatbot for real-time guidance, and access to relevant mentors. The platform utilizes modern web technologies like Node.js and MongoDB to ensure a scalable and secure environment. This digital solution addresses the limitations of traditional counseling by offering data-driven, accessible, and adaptive career guidance.A key Features The proposed platform offers a range of intelligent features tailored to enhance student career planning. First, it uses an AI-powered assessment engine to evaluate student strengths and interests across domains such as engineering, medicine, arts, business, and information technology. Based on assessment outcomes, personalized career recommendations are generated. The system also integrates a 24/7 AI chatbot, providing immediate and context-aware responses to user queries. Students are matched with expert counselors and mentors for further guidance. Built with HTML, CSS, JavaScript, Node.js, and MongoDB, the application ensures a responsive interface, secure login, and efficient data handling. Additionally, users can track their performance over time, apply for career opportunities, and access a structured dashboard that visualizes career progress and suggestions.

Authors

Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icpcsn65854.2025.11035658
Primary Topic
Engineering Education and Curriculum Development
Type
article
Field-Weighted Citation Impact
0.00
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article

Guiding Students to Their Future Paths Through Website

MASARPU SWATHI, S Pavithra, Rhea Sanjay, Kalai Selvi T
Engineering Education and Curriculum Development
article

Guiding Students to Their Future Paths Through Website

MASARPU SWATHI, S Pavithra, Rhea Sanjay, Kalai Selvi T
article en

Abstract

This paper presents a smart and interactive web-based platform designed to assist students in choosing suitable career paths. Using AI-driven assessments, the system evaluates a student’s strengths and preferences across various domains and provides personalized recommendations. Key features include domain-specific testing, an AI-powered chatbot for real-time guidance, and access to relevant mentors. The platform utilizes modern web technologies like Node.js and MongoDB to ensure a scalable and secure environment. This digital solution addresses the limitations of traditional counseling by offering data-driven, accessible, and adaptive career guidance.A key Features The proposed platform offers a range of intelligent features tailored to enhance student career planning. First, it uses an AI-powered assessment engine to evaluate student strengths and interests across domains such as engineering, medicine, arts, business, and information technology. Based on assessment outcomes, personalized career recommendations are generated. The system also integrates a 24/7 AI chatbot, providing immediate and context-aware responses to user queries. Students are matched with expert counselors and mentors for further guidance. Built with HTML, CSS, JavaScript, Node.js, and MongoDB, the application ensures a responsive interface, secure login, and efficient data handling. Additionally, users can track their performance over time, apply for career opportunities, and access a structured dashboard that visualizes career progress and suggestions.

Openalex Percentile: Top 81%
Engineering Education and Curriculum Development
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Guiding Students to Their Future Paths Through Website — MASARPU SWATHI, S Pavithra, et al. · (2025) | TGRS Research Map | TGRS