README.md

metadata

license: mit
title: Assitant-Tiya
sdk: streamlit
emoji: 🐨
colorFrom: red
colorTo: red
short_description: Assitant for Dhanvanth Voona
app_file: app.py

AI Resume Assistant

A Streamlit-based LLM assistant that helps you tailor your resume and cover letter based on job descriptions.

Features

1. Resume Finder - Automatically selects the most relevant portfolio (AI or Data Science) based on job description
2. Cover Letter Generator - Creates customized cover letters using your selected resume
3. General Query - Answers questions about your application with relevant context

Setup

1. Install Dependencies

pip install -r requirements.txt

2. Configure API Keys

Create a .env file in the project directory:

OPENROUTER_API_KEY=your_openrouter_api_key_here
OPENAI_API_KEY=your_openai_api_key_here

Or provide API keys through the Streamlit UI sidebar.

3. Ensure Portfolio Files Exist

Make sure you have:

• AI_portfolio.md
• DS_portfolio.md

in the same directory as app.py

4. Run the Application

streamlit run app.py

How It Works

Input Section

• Job Description (Required) - Paste the job posting
• Resume Finder (Optional) - Check to find the best matching resume
• Cover Letter (Optional) - Check to generate a cover letter
• Length of Resume (Optional) - Choose response length (short/medium/long)
• Select Resume (Optional) - Choose AI_portfolio or DS_portfolio
• Entry Query (Optional) - Ask specific questions (max 5000 characters)

Processing Logic

The system categorizes inputs based on your selections:

Resume Finder	Cover Letter	Select Resume	Action
✓	✗	No Select	Resume Finder - Picks best portfolio
✗	✓	Resume_P/Dss	Cover Letter - Generates cover letter
✗	✗	Resume_P/Dss	General Query - Answers your question
Any other combination			Retry - Validation error

Output

Each category produces:

1. Resume Finder Output

   • Selected Resume: Resume_P or Resume_Dss
   • Reasoning: 25-30 words explaining why

2. Cover Letter Output

   • Professional cover letter (<250 words)
   • Starts with "Dear Hiring Manager,"
   • Ends with "Best, Dhanvanth Voona"

3. General Query Output

   • Natural human-like response
   • Tailored to specified word count
   • Ready to use in applications

API Usage

Resume Finder

• Model: openai/gpt-oss-safeguard-20b
• Provider: OpenRouter
• Requires: OPENROUTER_API_KEY

Cover Letter & General Query

• Model: gpt-4o-mini
• Provider: OpenAI
• Requires: OPENAI_API_KEY

Notes

• All LLM outputs are without preamble for direct usage
• Cover letters have no em dashes as per specifications
• General queries are kept under word limits specified
• Responses are formatted to be immediately usable in applications