PyDataPRO is an intelligent data-driven career companion built with a Python + FastAPI backend and a modern React frontend. It serves as the central analytics and recommendation engine within a three-app ecosystem that includes:
- CVitaePRO.com – a smart resume builder with PDF/DOCX export
- CareerGistPRO.com – a job discovery engine with AI summaries, search analytics, and favorites
- PyDataPRO.com – an AI-powered career analysis and learning platform that unifies data from both systems
The intent of PyDataPRO is to turn passive career data into actionable insights.
By ingesting resume content, job searches, favorited jobs, and keyword trends from both CVitaePRO and CareerGistPRO, PyDataPRO creates a centralized knowledge hub where users can:
- Visualize patterns in their job activity
- Receive personalized career guidance
- Discover learning resources and interview prep
- Track skill development and progress over time
- Unify fragmented data from multiple career tools into a single, centralized dashboard
- Analyze resume skills, job behaviors, and user preferences using AI/NLP
- Recommend concrete next steps like learning courses, practice questions, and career paths
- Visualize important career trends with interactive charts and smart widgets
- Displays combined data from CVitaePRO (resumes) and CareerGistPRO (favorites, searches)
- Responsive UI styled with TailwindCSS
- Sections include:
- Resumes
- Favorite jobs
- Keywords from job summaries
- Recent search terms
- Extracts only from the "Skills" section of resumes using
spaCyanden_core_web_sm - Matches skills to relevant job roles via OpenAI
- Saves user suggestions with timestamp in a shared PostgreSQL table
- Uses OpenAI to return 10 custom questions for any job title
- Rate-limited by user session for controlled generation
- Designed for on-demand interview prep with title-based prompts
- Generates Coursera-based learning paths from resume skills
- Falls back to OpenAI if API yields no results
- Lets users browse courses filtered by relevance and platform
- Displays both extracted skills and recommended courses
- JWT Inactivity Timeout System:
- Monitors user activity and refreshes tokens 15 min before expiration
- Shows a 2-minute fullscreen countdown modal on inactivity
- Modal buttons lock at 0:02, and auto-logout occurs at 0:00
- Integrated Analytics:
- Salary insights, regional job distributions, company histograms
- Powered by historical favorites and search data
- Career Suggestions Card:
- Fully modular React component appearing in the user profile
- Refreshable, async, and styled in PyDataPRO's dark theme
- Course Recommendations Tracker (upcoming):
- Planned feature to track completion and progress through suggested resources
- 🔍 Skill Gap Analysis: Detect missing skills for target roles
- 🌱 Course Tracker: Track learning history and course completion
- 🧠 Interactive Skill Tree: Visualize user strengths and learning pathways
- ✅ Job Readiness Meter: Quantify match quality between user profile and saved jobs
- 📄 Resume Optimization Feedback: Use OpenAI to suggest resume improvements
- 🔐 OAuth Login: Future plan for Google, GitHub, LinkedIn login support
| Layer | Stack |
|---|---|
| Frontend | React, Vite, TailwindCSS |
| Backend | FastAPI, Python 3.11, python-jose, dotenv |
| AI/NLP | OpenAI GPT-4, spaCy, LangChain |
| Database | PostgreSQL (shared between all three apps) |
| Hosting | Render.com (backend + DB + frontend) |
PyDataPRO is designed to sit at the intersection of:
- 📄 CVitaePRO – for resume generation and parsing
- 🔍 CareerGistPRO – for job search activity, favorites, and trends
It pulls, processes, and presents this data in one unified view, acting as the user's career brain.
PyDataPRO is not just a dashboard — it’s a career co-pilot.
By uniting user career history with AI-powered insights and smart visualization, PyDataPRO helps users:
- Identify where they stand
- Understand where they want to go
- Take the clearest path to get there
It is the intelligent center of your career journey, combining data, direction, and decisions.