Abstract (300 words maximum)
The fields of education and career counselling have been completely transformed by the quick development of artificial intelligence (AI) technologies. The objective of this project is to develop an AI-powered career advising system that leverages cutting-edge technology to provide personalized job recommendations aligned with the user's skills, interests, and career goals. The system provides a user-friendly and interactive platform for career exploration by using Natural Language Processing (NLP) models with web application developed with Flask (backend) and React (frontend).
The main goal of this project is to overcome the shortcomings of conventional career guidance approaches, which frequently do not offer personalized solutions and do not cater to individual preferences, abilities, and goals. By utilizing AI algorithms, natural language processing techniques, and machine learning models, our application seeks to deliver precise assessments of interests, match skills effectively, and create customized educational pathways. The project involves designing, developing, and implementing AI-powered features, including interest evaluation, skill analysis, and personalized recommendations. The approach includes gathering data via user contributions, preparing the data for analysis, and developing a comprehensive system architecture that consists of frontend interfaces, backend servers, and database management.
Academic department under which the project should be listed
CCSE - Computer Science
Primary Investigator (PI) Name
Dr. Hafiz Khan
Power point presentation
FutureFit Guidance System
The fields of education and career counselling have been completely transformed by the quick development of artificial intelligence (AI) technologies. The objective of this project is to develop an AI-powered career advising system that leverages cutting-edge technology to provide personalized job recommendations aligned with the user's skills, interests, and career goals. The system provides a user-friendly and interactive platform for career exploration by using Natural Language Processing (NLP) models with web application developed with Flask (backend) and React (frontend).
The main goal of this project is to overcome the shortcomings of conventional career guidance approaches, which frequently do not offer personalized solutions and do not cater to individual preferences, abilities, and goals. By utilizing AI algorithms, natural language processing techniques, and machine learning models, our application seeks to deliver precise assessments of interests, match skills effectively, and create customized educational pathways. The project involves designing, developing, and implementing AI-powered features, including interest evaluation, skill analysis, and personalized recommendations. The approach includes gathering data via user contributions, preparing the data for analysis, and developing a comprehensive system architecture that consists of frontend interfaces, backend servers, and database management.