This is like an AI-powered comment filter for movies: users type or paste a movie review into a simple website, and the system automatically decides whether the review is positive or negative, using a modern language model under the hood.
Manually reading large volumes of movie reviews to understand audience sentiment is slow and inconsistent. This app automates sentiment scoring so platforms or researchers can quickly gauge how viewers feel about movies at scale.
Early Majority
Uses RoBERTa embeddings combined with a CNN classifier and exposes the model via a Flask web application, which is a relatively modern, higher-accuracy approach compared with older bag-of-words or simple RNN sentiment models, wrapped in a lightweight deployable app.
This is about using tools like ChatGPT as a very fast junior market researcher: you ask it questions about consumers, brands, or markets, and it drafts insights, survey ideas, and segment descriptions instead of a human doing everything from scratch.
Think of PepsiCo running its factories and delivery trucks like a gigantic kitchen and delivery fleet. AI is the smart planner that constantly looks at sales, inventory, weather, promotions, and production status to decide what to make, where to ship it, and how to keep machines running smoothly before they break.
Think of your supply chain planning as flying a modern plane: the AI is the autopilot doing millions of calculations per second, and your planners are the pilots deciding the destination, watching for storms, and overriding when needed. This setup makes planning faster, safer, and more precise than humans or software alone.