Aarti Kumari

Welcome to my AIML portfolio. Here, I bring together my passion for Artificial Intelligence and Machine Learning.

Here are a few highlighted projects.

  • Sales Forecasting for Retail Stores
    This project focuses on building a machine learning pipeline to forecast item-level sales across retail stores using historical transaction data. It combines multiple data sources (item details, prices, kcal values, store metadata) to construct a unified dataset. The goal is to support data-driven decision-making in inventory planning and demand forecasting.
  • Netflix Content Clustering using Unsupervised Learning
    This project applies Unsupervised Machine Learning and NLP techniques to cluster Netflix content (movies and TV shows) based on their textual descriptions and metadata.
  • Automating Port Operations using CNN
    This project is an end-to-end implementation of deep learning models aimed at automating port operations through boat image classification. The primary goal is to build efficient models—one from scratch and another lightweight variant leveraging transfer learning.