Pathwise is an intelligent career automation platform designed to streamline the job application process using AI-driven profile optimization and seamless browser integration.
- AI CV Parsing: Neural extraction of professional data from PDFs.
- Dynamic Personas: Generate multiple optimized professional profiles (Frontend, Backend, Management, etc.) using Llama 3.3.
- Smart Dashboard: Glassmorphism UI for profile management and verification.
- Chrome Extension: Intelligent form autofilling and job data capture.
- Cloud Persistence: SQLite with automatic Google Cloud Storage synchronization.
Pathwise follows a Lean & Modular architecture:
- Routes → Services → Repositories: Clean separation of concerns.
- Unified Schema: Centralized SQLite database for users, profiles, and applications.
- AI Orchestration: Integrated with Groq SDK for ultra-fast Llama 3 inference.
- Modular Frontend: Organized into
core/,modules/, andutils/. - Wizard Engine: Consolidated step-by-step CV verification and enrichment.
- Rich Aesthetics: Premium Dark Mode with Glassmorphism and micro-animations.
- Contextual Injection: Injects optimized data directly into job application forms.
- Backend: Node.js, Express, SQLite.
- Frontend: HTML5, Vanilla JS, Tailwind CSS.
- AI: Groq (Llama 3.3 70B).
- Cloud: Google Cloud Run, Google Cloud Storage.
- DevOps: Docker, GitHub Actions, Cloud Build.
Pathwise/
├── backend/ # API, Database Repositories & Services
├── docs/ # Technical documentation & Contracts
├── extension/ # Chrome Extension (Manifest V3)
├── web-dashboard/ # Premium Frontend (core/modules/utils)
├── agents.md # AI Agent Persona & Principles
└── skills/ # Agent Skillset definition
- Install Dependencies:
npm install - Configure Environment: Create
.envinbackend/with yourGROQ_API_KEY. - Start Development:
npm start - Deploy:
bash deploy-cloud-run.sh
Developed by MedalCode — Pathwise is your terminal for professional infiltration.