CareerCopilot AI

Dashboard Preview

Key Insights

• 6,431+ Job Postings Analyzed
• 3,948+ Hiring Companies Identified
• 2,051+ Locations Covered
• Python and SQL emerged as the most in-demand skills

Personalized Career Intelligence & Skill Gap Analysis Platform

CareerCopilot AI analyzes real-world job market data to help students identify skill gaps, evaluate career readiness, and generate personalized learning roadmaps.

Features

• Job Market Analysis
• Skill Demand Analysis
• Career Readiness Score
• Skill Gap Identification
• Career Recommendation Engine
• Personalized Learning Roadmap
• Hiring Trends Analysis

Tech Stack

• Python
• Pandas
• NumPy
• Matplotlib
• Jupyter Notebook
• Power BI
• Git & GitHub

Project Structure

CareerCopilot-AI
├── dashboard/
│   └── CareerCopilot_AI_Dashboard.pbix
├── data/
│   ├── job_postings.csv
│   ├── job_skills.csv
│   ├── top_skills.csv
│   ├── top_locations.csv
├── notebooks/
│   └── careercopilot.ipynb
├── screenshots/
│   └── dashboard.png
└── README.md

Project Workflow

1. Analyze job postings data
2. Extract in-demand skills
3. Compare user skills with market demand
4. Calculate readiness score
5. Identify skill gaps
6. Generate career recommendations
7. Create personalized learning roadmap

How to Run

1. Clone the repository
2. Open notebooks/careercopilot.ipynb
3. Install required libraries: pip install pandas numpy matplotlib
4. Run the notebook

Sample Output

CareerCopilot AI Report

Target Role: Data Scientist

Career Readiness Score: 40%

Missing Skills: • SQL • Statistics • Data Visualization

Recommended Learning Path:

1. SQL Fundamentals
2. Exploratory Data Analysis
3. Power BI Dashboarding
4. Machine Learning Basics

Future Enhancements

• Interactive Power BI Dashboard
• Resume Analyzer
• AI Career Advisor
• Salary Intelligence Engine
• Job Recommendation System

Author

Manasvi Bhargava

GitHub: https://github.com/manasvi2529