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AI Powered Job Search

An AI-powered job search application delivering unmatched speed, accuracy, and relevance in job recommendations. This platform uses LanceDB as vector database for efficient semantic search, React.js for a seamless user interface, Node.js for robust backend services, and LangChain.js for natural language understanding. It processes and retrieves job listings using advanced filtering mechanisms, ensuring precise and accurate results as per to user's filters.


Demo

demo


Unmatched Features

  • πŸ” Intelligent Job Discovery: Input job titles, skills, or locations to receive precise, tailored job listings instantly.

  • 🌐 Scalable Dataset Processing: Handles massive datasets of job postings, ensuring efficient and reliable search results.

  • πŸ“ˆ Precision Matching Technology: Leverages semantic similarity through advanced embeddings to align user queries with the most relevant job listings.

  • 🧠 AI-Powered Insights: Built with LangChain.js for sophisticated natural language understanding and a vector database for high-speed similarity searches.

  • πŸ”„ Dynamic Data Customization: Replace or augment the default dataset to target specific industries, locations, or roles seamlessly.

  • βš™οΈ Advanced Filtering: Filters results based on parameters like location, job type, and skills to deliver hyper-relevant outcomes.


How It Works

  1. Data Preprocessing: Job postings are divided into smaller, searchable chunks using RecursiveCharacterTextSplitter, ensuring no context is lost.

  2. Vector Embedding: Preprocessed chunks are embedded using OpenAIEmbeddings, allowing for semantic understanding of job descriptions and queries.

  3. Efficient Storage: Embedded vectors are stored in LanceDB, optimized for rapid and scalable similarity searches.

  4. Advanced Filtering and Retrieval: User inputs and filtering criteria are matched against the dataset, delivering the top most relevant job postings within milliseconds.


Technical Highlights

  • Advanced Search Architecture: Combines React.js for a seamless UI and Node.js for robust backend support.

  • High-Speed Vector Database: Utilizes LanceDB for efficient storage and similarity searches.

  • Sophisticated NLP Capabilities: Powered by LangChain.js, enabling deep understanding of user queries and job descriptions.

  • Customizable and Scalable: Modify datasets easily to adapt to different industries, markets, or user requirements.

  • Filtering for Precision: Supports advanced filtering by salary, location, job type, and more for highly accurate results.


Applications and Use Cases

  • Job Seekers: Discover opportunities aligned with skills and aspirations effortlessly.

  • Recruiters: Streamline candidate recommendations and job matching processes.

  • Career Platforms: Enhance user engagement with personalized job suggestions.

  • Custom Job Boards: Cater to niche markets with industry-specific datasets.


Getting Started

1. Prerequisites

2. Installation

Clone the repository and install dependencies:

git clone <repository-url>
cd <repository-folder>
npm install

3. Configure API Key

Add your OpenAI API key in .env or direclty export from you terminal for quick testing:

OPENAI_API_KEY=your_openai_key

4. Customizing the Dataset


Replace or augment the job posting dataset for tailored results:

  1. Navigate to src/Backend/dataSourceFiles.

  2. Replace the existing .csv file with your custom dataset.

  3. Restart the backend server to apply the changes.

For example, utilize the Jobs Dataset from Kaggle: Jobs Dataset on Kaggle Jobs posting dataset


5. Running the Application

Add your data file

Run Backend Server:

npm run server

Run client Application:

npm run dev

Run full Application:

npm start

Access the app at:

http://localhost:5173

Future Enhancements

  • Support for additional file formats (e.g., .csv, .json).
  • Deployment to cloud platforms (e.g., Vercel, AWS).
  • Multi-Modal Search: Incorporate support for resumes, cover letters, and multimedia job descriptions.
  • Enhanced Filtering Options: Add filters for salary, company size, and job type.

Feel free to fork, contribute, and customize the project to suit your needs! πŸŽ‰

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