Artificial Intelligence Internship

During my AI internship at Intrainz, I worked on both mini and major research-driven projects that deepened my understanding of machine learning and artificial intelligence concepts. The experience involved extensive self-directed learning, practical coding, and comprehensive data analysis.

Projects Completed:

📊 Mini Project — K-Means Clustering Report
Conducted a thorough study of the K-Means Clustering algorithm, exploring its role in unsupervised learning. I implemented the algorithm using Python, visualized cluster groupings, and analyzed the importance of feature scaling in model performance.

📰 Major Project — Spam News Detection
Authored a detailed report and implemented a machine learning pipeline for classifying news articles as spam or legitimate. The project included data preprocessing, feature extraction, and the application of classification techniques such as:

Logistic Regression

Support Vector Machines (SVM)

Multiple Linear Regression

Supervised vs. Unsupervised learning frameworks

Key Skills & Technologies:

Python for AI model development

Feature scaling, data encoding, and preprocessing

Supervised & unsupervised learning techniques

Hands-on with classification algorithms and evaluation metrics

Explored deep learning foundations and digit recognition tasks

This internship significantly enhanced my understanding of AI-driven problem-solving and helped me apply academic knowledge to real-world machine learning projects.