CareerMitra : AI Career Path Recommender

This paper presents CareerMitra, an intelligent AI-powered career guidance system designed to assist students and professionals in making informed career decisions. The system integrates mobile application technologies and artificial intelligence to analyze user data and generate personalized career recommendations. The frontend of the application is developed using Java and XML in Android Studio, while the backend processing is handled using Python. Firebase cloud database services ensure secure storage and management of user information. Ollama with the LLaVA 7B model is utilized to process user inputs such as education, skills, interests, experience, and behavioral responses to generate accurate and contextual career suggestions. This integrated approach improves accessibility, scalability, and reliability, making CareerMitra a practical solution for modern digital career guidance and educational technology platforms.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-03-16
DOI
https://doi.org/10.64388/irev9i9-1715173
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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CareerMitra : AI Career Path Recommender

Divya Navnath Shinde, Prof. Sandhya Ranvir, Bhagyshree Jaywant Pawar, Payal Suresh Rathod et al.
Iconic Research and Engineering Journals
Intelligent Tutoring Systems and Adaptive Learning
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CareerMitra : AI Career Path Recommender

Divya Navnath Shinde, Prof. Sandhya Ranvir, Bhagyshree Jaywant Pawar, Payal Suresh Rathod, Aditi Dhyaneshwar Palave
article en

Abstract

This paper presents CareerMitra, an intelligent AI-powered career guidance system designed to assist students and professionals in making informed career decisions. The system integrates mobile application technologies and artificial intelligence to analyze user data and generate personalized career recommendations. The frontend of the application is developed using Java and XML in Android Studio, while the backend processing is handled using Python. Firebase cloud database services ensure secure storage and management of user information. Ollama with the LLaVA 7B model is utilized to process user inputs such as education, skills, interests, experience, and behavioral responses to generate accurate and contextual career suggestions. This integrated approach improves accessibility, scalability, and reliability, making CareerMitra a practical solution for modern digital career guidance and educational technology platforms.

Iconic Research and Engineering JournalsVol. 9(9)
Quality Education
Openalex Percentile: Top 22%
Intelligent Tutoring Systems and Adaptive Learning
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