AI Job Search with Contextual Places

This project helps users search for jobs and discover nearby contextual places (cafés, work spots, etc.) around company locations using Gemini, Nominatim, and Foursquare APIs.

Built for the Hackathon under the theme Unlocking Contextual Place Information.

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🚀 Features

• Extract job role & location from natural language prompts using Gemini API.
• Fetch job listings via RapidAPI.
• Get company coordinates using Nominatim API.
• Discover nearby places (cafés, co-working spots, etc.) using Foursquare Places API.
• Interactive frontend with instant job results while nearby place data loads asynchronously.

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🛠 Tech Stack

• Backend: Django (Python)
• Frontend: HTML, CSS, JavaScript (AJAX for async updates)
• APIs: Gemini, RapidAPI, Nominatim, Foursquare
• Database: SQLite (default Django)

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📂 Setup Instructions

Follow these steps to run the project locally.

1. Clone the Repository

1.git clone https://github.com/your-username/your-repo.git
cd your-repo
2. Create a `.env` file in the root folder
3. Add the following variables (replace with your own keys):
   - GEMINI_API_KEY
   - RAPIDAPI_KEY
   - FSQ_API_KEY
4. python -m venv venv for creating a virtual environment
source venv/bin/activate   # Mac/Linux
venv\Scripts\activate      # Windows
pip install -r requirements.txt
python manage.py runserver