🚀 Kv - Your Enhanced AI-Powered Deep Research & Job Search Companion 🌍🔍

Founded by K. Vamsi Krishna

📋 Table of Contents

	Section	Description
📺	Demo Video	See KV in action
🌟	Key Features	What makes KV special
🖼️	Screenshots	Visual previews
🚀	Why Choose KV	Benefits & advantages
⚙️	Installation	Get up and running
🎮	Usage Guide	How to use KV effectively
🤝	Contribution	Join our community
📄	License	MIT License
📞	Contact & Support	Get in touch

KV is a revolutionary open-source platform that combines the power of Google Gemini AI with advanced web scraping for unparalleled research and job search capabilities. KV goes beyond conventional tools to provide deep insights, analyze resumes, identify skill gaps, and help you find your ideal career path.

📺 Demo Video

🌟 Key Features

🔥 Feature	💫 Description
	Advanced AI Integration Leverages Google Gemini's powerful AI capabilities for deep analysis
	Intelligent Web Scraping Gathers comprehensive data from across the internet
	Multi-Search Engine Support Access Google, Bing, DuckDuckGo, and LinkedIn simultaneously
	Iterative Research Self-refining search strategies for more precise results
	Resume Analysis AI-powered evaluation of your resume with improvement suggestions
	Job Match Algorithm Finds ideal job opportunities based on your profile
	Skill Gap Detection Identifies missing skills needed for your target positions
	Professional Reports Generates beautiful PDF reports with data visualizations
	UI Customization Dark & light mode with responsive design for all devices

🖼️ Screenshots

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📱 Modern Chat Interface

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🔍 Deep Research in Action

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⚙️ Customization Options

🚀 Why Choose KV

🌟 Unique Advantages
	Zero API Costs All features available with no usage fees or hidden charges
	Fully Open Source Transparent code, community-driven development
	Unrestricted Data Access No API limitations, broader data coverage
	AI-Enhanced Job Matching Finds opportunities that truly match your profile
	Versatile Research Tools Product analysis, image recognition, sentiment analysis, website summarization

⚙️ Installation

⚡ Quick Setup

# Clone repository
git clone https://github.com/kvcops/Deep-Research-using-Gemini-api.git

# Change directory
cd Deep-Research-using-Gemini-api

# Create virtual environment
python -m venv venv

# Activate virtual environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Create .env file with your API key
echo "GEMINI_API_KEY=YOUR_ACTUAL_GEMINI_API_KEY" > .env

# Launch KV
uvicorn app:app --host 127.0.0.1 --port 8000 --reload

🌐 Open http://127.0.0.1:8000 in your browser

🎮 Usage Guide

🚀 Get Started in 3 Easy Steps

Step 1	Start a new chat session or research query
Step 2	Upload your resume for job search or enter research topic
Step 3	Review results, download reports, and implement recommendations

🤝 Contribution

We welcome all contributions! Here's how to get involved:

	Code: Fix bugs, add features, improve performance
	Design: Improve UI/UX, create assets, enhance visual appeal
	Documentation: Help with guides, examples, API docs
	Testing: Report bugs, create test cases, QA features
	Spreading the Word: Share KV with others who might benefit