Add car finder agent

[shivaylamba]

Add car finder agent using Scrapegraph

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EntelligenceAI PR Summary

This PR adds a complete AI-powered car finder agent system that scrapes Cars.com listings and provides intelligent recommendations through a Streamlit chat interface.

• Implemented CrewAI agent with Nebius LLM for natural language query processing and car recommendations
• Added ScrapegraphAI integration for web scraping with automatic seed page scraping on no matches
• Created MongoDB persistence layer with three collections, unique indexes, and upsert/query/health check functions
• Built Streamlit UI with dark theme, API key configuration, database health monitoring, and expandable car detail cards
• Included brand keyword extraction, price/location/keyword filtering, and anti-hallucination safeguards
• Added comprehensive documentation, environment configuration, dependency management, and standard Python project structure

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Walkthrough

This PR introduces a new AI-powered car finder agent feature that scrapes used car listings from Cars.com, stores them in MongoDB, and provides intelligent recommendations through a Streamlit interface. The implementation leverages ScrapegraphAI for web scraping, CrewAI with Nebius LLM for natural language query processing, and MongoDB for data persistence with deduplication. The system includes a dark-themed chat interface where users can query for cars using natural language, with the agent performing brand extraction, price/location filtering, and providing recommendations based only on real database listings. The project includes comprehensive documentation, environment configuration, database health monitoring, and proper Python project structure with dependency management.

Changes

File(s)	Summary
advance_ai_agents/car_finder_agent/README.md	Added comprehensive documentation covering architecture, tech stack, project structure, setup instructions, and usage guidelines for the AI-powered car recommendation system.
advance_ai_agents/car_finder_agent/agent.py	Implemented core car finder agent using CrewAI and Nebius LLM with functionality for scraping Cars.com listings, MongoDB storage with deduplication, brand keyword extraction, and AI-based car recommendations with strict anti-hallucination rules.
advance_ai_agents/car_finder_agent/app.py	Created Streamlit application with dark-themed chat interface, sidebar configuration for API keys and user ID, database health monitoring, and expandable car detail cards displaying results from MongoDB queries.
advance_ai_agents/car_finder_agent/db.py	Implemented MongoDB integration module with connection management, three collections (cars_listings, chat_debug, scraped_pages) with unique indexes, and functions for upserting cars, querying with filters, and health checks.
advance_ai_agents/car_finder_agent/api.env	Added environment configuration file with MongoDB connection settings (URI, database name) and API key placeholders for Nebius and Scrapegraph services.
advance_ai_agents/car_finder_agent/.gitignore	Added standard Python .gitignore file to exclude bytecode, build artifacts, distribution files, environment files, and virtual environments from version control.
advance_ai_agents/car_finder_agent/requirements.txt	Defined project dependencies including streamlit, pymongo, python-dotenv, requests, crewai, crewai-tools, scrapegraph-py, and litellm.
advance_ai_agents/car_finder_agent/pyproject.toml	Added Python project configuration for 'carsscrape' module with version 0.1.0 and Python 3.10+ requirement.
advance_ai_agents/car_finder_agent/assets/nebius.png	Added Nebius branding image asset for UI display.

Sequence Diagram

This diagram shows the interactions between components:

sequenceDiagram
    Note over Developer: No component interactions to diagram
    Note over Developer: This PR only adds a .gitignore file<br/>with Python project exclusions
    Note over Developer: No code changes or architectural<br/>modifications are present

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