Skill Path Finder

AI-Based Career Guidance System for Engineering Students

📌 Overview

Skill Path Finder is an intelligent web application developed using Python Flask that analyzes a student's existing skills and recommends suitable engineering career paths based on skill matching.

Unlike traditional career guidance systems, this project evaluates the user's technical knowledge, calculates a career alignment score, identifies missing skills, and provides personalized recommendations.

Features

✔ Skill Analysis ✔ Career Recommendation ✔ Career Alignment Score ✔ Missing Skill Detection ✔ Engineering Career Guidance ✔ NLP Keyword Matching ✔ Interactive Dashboard ✔ Responsive UI

🛠️ Technologies

Frontend

• HTML • CSS • JavaScript

Backend

• Python • Flask

Database

• (Currently In-Memory)

Future

• SQLite • Machine Learning • Resume Analysis

🚀 Setup & Run

1. Install Dependencies

git clone https://github.com/Swapnika2229/Skill-Path-Finder.git

cd Skill-Path-Finder

pip install -r requirements.txt

2. Run the App

python app.py

3. Open in Browser

http://localhost:5000

📂 Folder Structure

Skill_Path_Finder/ ├── app.py ├── requirements.txt ├── README.md ├── data/ ├── templates/ ├── static/ │ ├── css/ │ └── js/

🎯 Career Roles Supported

Role	Description
💻 Software Engineer	Design and develop software systems
📊 Data Scientist	Analyse data and build ML models
🤖 AI / ML Engineer	Build and deploy AI systems
🌐 Web Developer	Build websites and web apps
🔐 Cybersecurity Engineer	Protect systems from threats
☁️ Cloud Engineer	Manage cloud infrastructure
🗄️ Data Engineer	Build data pipelines
⚙️ Mechanical Engineer	Design mechanical systems
🏗️ Civil Engineer	Infrastructure and construction
🔌 Electronics Engineer	Circuit and embedded systems design

📊 How It Works

1. Student selects a target engineering career role
2. Student enters their learning activities in free text
3. System extracts skills using NLP keyword matching
4. Matched and missing skills are identified
5. Career Alignment Score (%) is calculated
6. Alignment level (High / Moderate / Low) is displayed
7. Personalised feedback is provided

🔢 Scoring

Score	Level	Interpretation
≥ 70%	🟢 High	Well-prepared for this role
40–69%	🟡 Moderate	Good foundation, focus on gaps
< 40%	🔴 Low	Significant skill development needed

Project Images

1.Select Your Engineering Branch

2.Select Your Target Career Role

3.Enter Your Learning Activities

4.Analyze My Skills

Future Enhancements

✔ Resume Upload ✔ AI Career Prediction ✔ Roadmap Generator ✔ Course Recommendation ✔ Authentication ✔ Dashboard ✔ Engineering Branch Selection ✔ Learning Progress

Author

Swapnika Mohanty B.Tech CSE