Career Canvas - AI-Powered Job Search & Application Toolkit

Qualcomm Technologies x Northeastern University Hackathon Project

Snapdragon Optimized 100% Local Edge AI

📖 Description

Welcome to Career Canvas – where crafting your dream career becomes a creative experience. Imagine opening the app and instantly having powerful AI tools at your fingertips to transform your job search journey. With just a few clicks, you can generate a professional resume tailored to your target position, create a compelling cover letter that highlights your unique skills, and prepare for interviews through realistic practice sessions.

As you use Career Canvas, you'll experience a seamless workflow where your professional history transforms into employer-ready documents through our intuitive drag-and-drop interface. The keyword optimization feature automatically identifies and incorporates industry-specific terms that help your resume pass ATS screening systems. When interview day approaches, practice with our AI-powered interview simulator that provides real-time feedback on your responses. Review your performance analytics to track improvement and receive suggestions to strengthen your application materials. With multi-format export options, you'll always have your polished documents ready to share in the format employers prefer. Career Canvas doesn't just help you apply for jobs – it empowers you to strategically craft your professional narrative for career success.

✨ Features

• 📝 Custom Resume Generator - Create professional, ATS-friendly resumes tailored to specific job descriptions
• ✉️ Cover Letter Creator - Generate personalized cover letters that highlight your relevant experience and skills
• 🎯 Job-Specific Tailoring - Customize all documents to match specific job requirements and keywords
• 🗣️ Mock Interview Practice - Prepare for interviews with AI-powered simulation and feedback
• 💼 Resume Management - Store, organize, and update multiple resume versions in one place
• 📊 Performance Analytics - Receive insights and improvement suggestions for your application materials
• 🔄 Intuitive User Interface - Easy-to-use platform with drag-and-drop functionality
• 🤖 AI-Powered Feedback - Get real-time suggestions to improve your resume and cover letter content
• 🔍 Keyword Optimization - Ensure your documents contain relevant industry keywords for better visibility
• 🌐 Multi-format Export - Download your documents in various formats (PDF, DOCX, etc.)

👨‍💻 Developers

• Jiawen Chen - LinkedIn
• Yunxi LI - LinkedIn
• Snahil Singh Dasawat - LinkedIn
• Steven Hu - LinkedIn
• Chantelle Wu - LinkedIn

🚀 Setup Instructions

Prerequisites

• Node.js (v22 or higher)
• Yarn package manager (Use 'npm install yarn -g' to install yarn)
• LM Studio (for local language model support)

Installation

1. Clone the repository:

   git clone https://github.com/javienc/careercanvas
   cd careercanvas

Setup for development

1. Install dependencies and setup everything:

   yarn setup

🤖 Setting Up LM Studio

Career Canvas requires a running LM Studio model for optimal performance. Follow these steps to set it up:

Installing LM Studio

1. Download LM Studio from the official website:

   • For Windows/macOS: Download the appropriate installer
   • For Snapdragon computers: Download the ARM-compatible version (LM Studio 0.3.10 or newer supports Snapdragon X Elite)

2. Install LM Studio following the on-screen instructions.

Configuring LM Studio for Career Canvas

1. Launch LM Studio.

2. Download a compatible model:

   • For Snapdragon computers, we recommend smaller models like Mistral 7B or Llama 3 8B for optimal performance
   • Models with 8-16GB RAM requirements work best on Snapdragon systems

3. Load your chosen model in LM Studio.

4. Enable the local API server:

   • Go to Settings > API Server
   • Toggle "Enable local API server"
   • Note the API URL (typically http://localhost:1234)

5. Connecting the local llm by click the setting icon on the bottom left and select LM Studio as the LLM provider

6. Keep LM Studio running while using Career Canvas.

Snapdragon-Specific Optimizations

On a Snapdragon computer:

1. Ensure you're using LM Studio 0.3.10 or newer which has specific ARM/Snapdragon optimizations.

2. In LM Studio settings:

   • Reduce the number of CPU threads to 6-8 for better stability
   • Set GPU layers to "Auto" or a lower value (4-8) to balance performance and resource usage
   • Enable "Low VRAM mode" if available

3. Monitor system performance and adjust settings as needed.

🏃‍♂️ Running the Application

Development Mode (Run all from the root folder)

1. Start the server: (To boot the server locally)

   yarn dev:server

2. Start the frontend: (To boot the frontend locally)

   yarn dev:frontend

3. Start the document collector: (To then run the document collector)

   yarn dev:collector

Verifying LM Studio Connection

1. After starting the server, check the console logs for successful connection to LM Studio.

2. If you encounter connection issues:

   • Ensure LM Studio is running and the API server is enabled
   • Check that your model is properly loaded in LM Studio
   • For Snapdragon systems, try restarting LM Studio with fewer CPU threads

📚 Additional Notes

• The application is designed to run primarily on the edge, with hybrid edge/cloud capabilities.
• For optimal performance, ensure your vector database is properly configured.
• Check the documentation for more advanced configuration options.
• On Snapdragon systems, monitor CPU and memory usage to ensure stable performance.

🔗 References

Technologies Powering Career Canvas

• LangChain Documentation
• LanceDB Vector Database
• React Documentation
• LM Studio Documentation
• Prisma ORM Documentation
• Vite Build Tool
• Tailwind CSS Framework
• Recharts Visualization Library
• Express.js Framework
• Puppeteer Web Scraping
• Node.js Runtime
• OpenAI API Documentation
• Yarn Package Manager

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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