Calendar View – Page 6

Day 15 Plan

Hour 1: Speech Recognition Demo 🔹 Prompt: “Prepare and present a short demo of a speech-to-text tool (Google Speech API,

Day 14 Prompts

Hour 1: Object detection with YOLOv8👉 “Train a YOLOv8 model on a small dataset for object detection. Test it on

Day 13 – Task Breakdown with Prompt

Hour 1: OpenCV Image Processing Demo 🔹 Prompt: “Demonstrate basic OpenCV image processing techniques in Python. Include grayscale conversion, edge

Day 12 Prompts

Hour 1: Collaborative filtering demo👉 “Explain step-by-step how collaborative filtering works in AI recommendation systems with a simple demo using

Day 11 Task Breakdown with 8 Prompts

Hour 1: Recommendation Engine Basics Prompt:“Research and explain how recommendation engines work (collaborative filtering, content-based filtering, hybrid models). Give examples

Day 10 Tasks

Hour 1 – Fine-tune text classification🔹 Prompt: “Use a dataset (e.g., product reviews, tweets, or emails) and fine-tune a text

Day 9 Prompts

Hour 1 – HuggingFace Transformers (BERT test)👉 “Run a test using HuggingFace Transformers with BERT. Load a sample dataset (e.g.,

Day 8 Prompts

Hour 1 – Sentiment Analysis Model👉 “Build a simple sentiment analysis model in Python using TextBlob or NLTK. Input: customer

Day 7

Hour 1: NLP Basics (NLTK, spaCy) 🔹 Prompt:“Learn the fundamentals of Natural Language Processing using NLTK and spaCy. Explore at

Day 6 Prompts

Hour 1 – Image classification demo (Keras CNN)👉 “Build a simple Keras CNN model for image classification using any dataset

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