AI and ML Internship

 

🤖 Artificial Intelligence Internship Program

📌 Objective:

To introduce students to the fundamentals of AI, including machine learning, natural language processing, and computer vision, and equip them with hands-on experience using Python and AI libraries.

📚 AI Internship Syllabus (1 Month Version)

✅ Week 1: Python & AI Basics

• Python Refresher (Data types, loops, functions, OOP)
• What is AI? History & Applications
• Branches of AI: ML, DL, NLP, CV
• Introduction to Jupyter Notebook & Google Colab
• Mini Project: Chatbot using if-else (rule-based)

✅ Week 2: Data Handling & Machine Learning Basics

• NumPy: Arrays, operations
• Pandas: DataFrames, data cleaning
• Matplotlib/Seaborn: Visualization
• Supervised vs Unsupervised Learning
• ML Models: Linear Regression, KNN, Decision Trees
• Hands-on: Build ML model to predict house prices

✅ Week 3: Real-World AI Applications

• Classification models (Email spam, disease prediction)
• Clustering (K-Means algorithm)
• Introduction to Natural Language Processing
• Tokenization, Stopwords, Lemmatization
• Hands-on Project: Sentiment Analysis using movie reviews

✅ Week 4: Project Development & Deployment

• Computer Vision Basics (OpenCV intro)
• Real-Time Face Detection (Optional)
• Final Project Ideas:
• Fake News Detector
• Loan Approval Predictionv
• Face Mask Detectionv
• Deployment: Use Streamlit / Flask to deploy model
• Hosting on GitHub / Render / Netlify

🏆 Deliverables for Interns:

• 1 or 2 AI Mini Projects
• Source Code on GitHub
• AI Internship Completion Certificate
• Project Completion Certificate (with live demo optional)
• Letter of Recommendation (performance-based)

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