AI-Powered Resume Analyzer and Enhancer

This application is an AI-powered tool that analyzes and enhances resumes based on job descriptions. It uses advanced language models to provide detailed insights and improvements for job seekers.

Image generated using Claude AI

Features

Resume upload (DOCX format)
Job description input
Quick and in-depth resume analysis
Resume enhancement
Output in multiple formats (DOCX, HTML)

Architecture

The application follows this high-level flow:

Start Application
Upload DOCX Resume
Input Job Description
Input GROQ API Key
Choose Action (Analyze or Enhance)
If Analyze:
- Choose Analysis Type (Quick or In-Depth)
- Perform Analysis
- Display Results
If Enhance:
- Perform In-Depth Analysis
- Enhance Resume
- Generate Enhanced Outputs

Key Components

Streamlit: For the web interface
python-docx: To process DOCX files
GROQ API: For accessing AI models
LLaMA 3 70B: Large language model for analysis and enhancement
Graphviz: For generating the architecture diagram

Setup and Installation

Clone the repository
Install required packages: pip install - r requirements.txt
Set up a GROQ API account and obtain an API key from here (https://console.groq.com/keys?_gl=1*1ozbol6*_gcl_au*MTc1ODk5MDQ0Mi4xNzM2NTgwNTgx*_ga*NDM2OTA5NjI1LjE3MzY1ODA1ODA.*_ga_4TD0X2GEZG*MTczNjU4MDU4MC4xLjAuMTczNjU4MDU4MC42MC4wLjA.)

Usage

Run the Streamlit app: streamlit run main.py
Upload your resume (DOCX format)
Enter the job description
Provide your GROQ API key
Choose to analyze or enhance your resume
View the results or download the enhanced resume

Modules

main.py: Main Streamlit application
prompts.py: Prompts for handling resume parsing and formatting
flowhchart.py: Flow chart vizualization

Dependencies

Streamlit
python-docx
groq
graphviz
docx2txt

Note

Ensure you have a valid GROQ API key and sufficient credits for using the LLaMA 3 70B model. The application's performance depends on the quality and availability of the AI model.