🎯 AI-Powered Career Guidance System

An end-to-end AI application that provides career recommendations, resume analysis, and personalized skill roadmaps using NLP and Machine Learning.

🔴 Live App:
https://ai-career-guidance-system-drmkhttknffsjwwbricqhf.streamlit.app/

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🚀 Features

📄 1. AI Resume Analyzer

• ATS-style semantic scoring
• NLP-based skill similarity
• Section-wise scoring breakdown
• Resume preview

🧠 2. Career Recommendation System

• Sentence Transformers (all-MiniLM-L6-v2)
• XGBoost multi-class classifier
• Top 3 career predictions with probability
• Interactive visualization using Altair

📊 3. Personalized Skill Roadmap

• Beginner → Intermediate → Advanced levels
• Dataset-driven skill progression
• Timeline-based structure

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🧠 Tech Stack

• Python
• Streamlit
• Sentence Transformers
• XGBoost
• Scikit-learn
• Pandas / NumPy
• Altair
• PyPDF2

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Dataset

• Custom career-skill dataset
• Columns:
  • career
  • skills
  • experience_level
  • Used for training a multi-class career prediction model

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📂 Project Structure

ai-career-guidance-system/
│
├── app.py
├── career_skills_dataset_levelwise_skills.csv
├── requirements.txt
└── README.md

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⚙️ Machine Learning Pipeline

1. Text preprocessing
2. Sentence embeddings generation
3. Label encoding of careers
4. Train-test split
5. XGBoost multi-class classification
6. Probability-based top career ranking

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📈 Model Performance

• Embedding Model: all-MiniLM-L6-v2
• Classifier: XGBoost
• Multi-class classification
• High accuracy on structured career dataset

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How to Run Locally

1️⃣ Clone the Repository
git clone https://github.com/Ankita7977/ai-career-guidance-system.git
cd ai-career-guidance-system

2️⃣ Install Dependencies
pip install -r requirements.txt

3️⃣ Run the Application
streamlit run app.py

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🌍 SDG Impact

Supports UN SDG 8 – Decent Work & Economic Growth
Helping students identify career paths through AI-driven insights.

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🔥 Why This Project Stands Out

• Real-world applied NLP
• ML deployment experience
• End-to-end AI pipeline
• Internship-ready project
• Cloud deployment (Streamlit)

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