Category: Artificial Intelligence & Machine Learning
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ML projects Ideas
Solid ideas that make students pay attention. 1. “FoodFresh” – Predict Whether Vegetables Are Fresh or Spoiled (Image ML) Why it works Food is universal. Students instantly get it — no deep theory needed. Core idea Use a tiny image dataset (fresh vs spoiled tomatoes, potatoes, apples).Train a small CNN (or MobileNet) to classify fresh
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IN NLP – NER
Named Entity Recognition (NER): This is a subtask of information extraction that involves locating and classifying named entities in unstructured text into predefined categories. Examples of categories: Person names, organizations, locations, dates, quantities, and monetary values. How it works: NER systems are trained to recognize these entities and sort them into a helpful classification system. Applications: It helps businesses