Abstract
The scope of the project encompasses the design, development, and
implementation of AI-driven functionalities such as interest assessment, skill analysis, resume building,
and personalized recommendations. The methodology involves data collection through user inputs,
preprocessing of data for analysis, and the creation of a robust system architecture comprising frontend
interfaces, backend servers, and database management. The implementation of the application involves
a comprehensive technology stack, including Python for AI algorithms, TensorFlow for ML models, React.js
for front end development, Flask for backend services, and PostgreSQL for database management.