🎯 Smart Internship/Project Matcher

AI-powered platform that matches students with internship and project opportunities using Azure cloud services and advanced NLP.

🚀 Overview

Students upload resumes to get personalized opportunity matches, while faculty/recruiters can post openings. The system uses Azure AI services to analyze resumes and generate intelligent matches with AI generated suggestions to improve the score.
Sample resumes are trained using a custom model through Azure Document Processing for accurate extraction.

🛠️ Tech Stack

Azure Services

• Azure Document Intelligence: Extracts structured data from PDF resumes
• Azure Text Analytics: Named entity recognition for skills identification

AI/ML

• Sentence Transformers: Semantic similarity matching (all-MiniLM-L6-v2)
• spaCy: NLP processing and entity validation
• Ollama (Llama 3.2): Personalized recommendations to improve score
• LangChain: LLM orchestration

Framework

• Streamlit
• Python

⚙️ Core Components

1. form_recognizer.py: Azure Document Intelligence integration for resume parsing
2. entity_extractor.py: Azure Text Analytics + skill normalization
3. smart_matcher.py: Semantic similarity scoring (60% exact + 30% fuzzy + 10% certifications)
4. suggestion_generator.py: Ollama LLM integration for personalized recommendations to improve score

🔧 Setup

Prerequisites

• Python 3.8+
• Azure subscription (Document Intelligence + Text Analytics)
• Ollama with Llama 3.2

Installation

pip install -r requirements.txt
python -m spacy download en_core_web_sm