Resume Application Tracking System (ATS)

Resume ATS

Project Overview

The Resume Application Tracking System (ATS) is a Streamlit application designed to streamline the hiring process by evaluating resumes against job descriptions. This project leverages the power of Google Gemini Pro API to generate insightful responses based on predefined prompts, enhancing the efficiency and accuracy of resume screening.

Key Features

  • Job Description Input: Users can enter job descriptions in a text area.
  • Resume Upload: Supports PDF resume uploads.
  • PDF to Image Conversion: Utilizes pdf2image library for processing.
  • Google Gemini Pro Integration: Generates responses based on user inputs and resume content.
  • Customizable Prompts: Includes templates for professional evaluation and percentage match calculation.
  • User-Friendly Interface: Features buttons for "Tell me about the Resume" and "Percentage match" actions.

Technologies Used

  • Python
  • Streamlit
  • Google Gemini Pro API
  • pdf2image library

Why ATS is Useful

Application Tracking Systems offer numerous benefits in the hiring process:

  • Efficiency: Automates resume screening, saving time and resources.
  • Consistency: Ensures standardized evaluation for all applicants.
  • Keyword Matching: Identifies relevant skills and experiences.
  • Centralized Data Management: Simplifies applicant information storage and retrieval.
  • Data-Driven Decisions: Provides insights for informed hiring choices.
  • Enhanced Collaboration: Facilitates teamwork among hiring personnel.
  • Compliance: Assists in adhering to hiring regulations.

Challenges and Solutions

Developing this ATS involved overcoming challenges such as integrating multiple APIs, ensuring accurate PDF processing, and creating an intuitive user interface. These were addressed through careful API management, robust error handling, and iterative UI design.

Future Enhancements

Future plans for this project include incorporating machine learning for more advanced resume analysis, expanding language support, and integrating with popular job posting platforms.