
One Stop Shop
This project was completed as part of my first Master’s class at NUS, an introductory AI course with a strong focus on machine learning, in collaboration with a team of four. It is a unified job-seeking platform built on Streamlit and microservices that integrates multiple AI-driven tools. The system features a job recommender that matches opportunities to user preferences, an LLM-powered cover letter and resume generator, a knowledge-based learning resource recommender to bridge skill gaps, and an interactive behavioral interview chatbot for mock practice with real-time feedback. By combining recommendation systems, knowledge-based reasoning, and prompt-engineered large language models, the platform streamlines the process of finding and preparing for suitable jobs in a timely and effective way.

My contributions to the project included conducting technical skill keyword data collection, developing and refining LLM prompts and scraping learning resources, implementing the learning resource service, and handling integration, testing, and fine-tuning to ensure the system performed effectively
Link:https://github.com/Career-Butterfly/IRS-Practice-Module-IS06-CareerButterfly
