asfkfjhe / Job.Query

This project is designed to streamline the recruitment process by providing a job and resume matching system and a chatbot for applicants. The key functionalities include: Job and Resume Matching and LLM powered chatbot

Job.Query : Job and Resume matching with chatbot

Overview

This project is designed to streamline the recruitment process by providing a job and resume matching system and a chatbot for applicants. The key functionalities include:

1. Job and Resume Matching: This feature calculates a matching score between a resume and a job description, enabling HR to rank resumes based on their relevance to the job requirements.
2. Applicant Chatbot: A chatbot feature for applicants that answers general queries about the job portal, such as the number of available jobs.

Features

1. Job and Resume Matching

• Process Flow:

  • Extract: Data extraction from resumes and job descriptions.
  • Clean: Preprocessing the text data (removing stop words, punctuation, etc.).
  • Tokenize: Splitting text into individual words or tokens.
  • Embed: Converting tokens into numerical vectors using embedding techniques.
  • Cosine Similarity: Calculating the cosine similarity between job description vectors and resume vectors.
  • Similarity Score: Generating a similarity score to rank resumes.

• Technologies Used:

  • Python
  • Natural Language Processing (NLP)
  • Cosine Similarity for measuring the similarity between documents

2. Applicant Chatbot

• Functionality:

  • Applicants can query the job portal for general information (e.g., number of available jobs).
  • Utilizes LangChain SQL Agent for handling queries and retrieving data from the database.

• Technologies Used:

  • LangChain
  • SQL for database queries
  • Python for chatbot implementation

3. Result

• Job and Resume Matching

• Chatbot