ARTIFICIAL INTELLGENCE (2025-26)

Unit -3 Python Programming find the link of programs in on google Colab: https://colab.research.google.com/drive/1RSqhdbs-gRcWHh_ognpeHpMGFH5fR8DB#scrollTo=KJWPthR-QNyd list of programs 1. Print " hello world". 2. Write a program to find the area of a rectangle with the given length and breadth are 50 and 20 respectively.  3. Write a program to read name and marks of the student and display the total mark. Solution of CBSE handbook programs 4. Write a tipper program where the user inputs the total restaurant bill. The program should then display two amounts :15 percent tip and 20 percent tip. 5. Write a program to check whether the user is eligible for driving license or not. 6. Your father always gives his car for service after 15000 km. check whether his car needs service or not. Read the kilometer reading from the user and give the output. 7. Write a program to display the first ten even natural numbers (use for loop) 8. Write a program to accept the basic salary from the ...

Introduction to Big Data and Data Analytics What is Big Data? Before we talk about Big Data, let's first understand Small Data ! Small Data is information that is easy to understand and use. For example, a small shop might keep track of how many chocolates it sells every day. If the shop owner sees that a lot of chocolates are selling, they will buy more to keep customers happy! Where Does Big Data Come From? Big Data is HUGE and very complicated! It is so big that normal computers cannot handle it easily. Big Data comes from three main places: Buying Things Online – When people shop on websites like Amazon, their purchase details are stored as data. Machines and Sensors – Traffic cameras, weather stations, and smartwatches collect information all the time! Social Media – When people post pictures, messages, or comments online, that also creates lots of data. Why is Big Data Important? Since Big Data is too big for humans to check one by one, smart computers help find ...

 UNIT-2  Data Science Methodology: An Analytic  Approach to Capstone Project What is a Methodology? A methodology is a structured way to plan and execute an AI project. It helps data scientists and teams decide on: Methods (how to analyze the data) Processes (steps to follow) Strategies (best ways to get correct results) Using a methodology ensures the project is organized , efficient , and cost-effective . What is Data Science Methodology? It is a step-by-step process that helps data scientists solve problems using data. The process follows a prescribed sequence of steps. It enables better understanding and handling of data . It ensures a systematic approach to finding solutions . Who Developed It? Data Science Methodology was introduced by John Rollins , a Data Scientist at IBM Analytics . It consists of 10 steps to guide AI projects from start to finish. The methodology helps teams approach AI projects efficiently. Modules of Data Science Meth...

UNIT3  (MCQ) How can machines "see"? A. Using eyes B. With the help of Computer Vision  C. Using microphones D. Using keyboards Which of the following is used in Computer Vision to capture images? A. Cameras  B. Sensors only C. Microphones D. Laptops Which component helps analyze images in Computer Vision? A. Deep Learning Models  B. Solar Panels C. Wheels D. Sensors only Which of these is a task of Computer Vision? A. Inspecting products for defects  B. Writing code C. Listening to music D. Playing games Computer Vision allows AI to: A. Recognize objects  B. Only store images C. Convert images to text without analysis D. None of the above Which of these is a limitation of Computer Vision? A. AI can understand images perfectly B. Poor image quality can cause errors  C. AI never needs data D. Images don’t need preprocessing Computer Vision is most useful in: A. Cooking B. Image recognition  C. Writing ...

 HOW CAN MACHINES SEE? The answer is with the help of Computer vision . Computer Vision (CV) helps machines "see" and understand images , just like humans do with their eyes. But instead of retinas and optic nerves, machines use: Cameras 🎥 → To capture images. Data & Algorithms 💻 → To analyze and interpret the images. Deep Learning Models 🤖 → To recognize patterns, objects, and actions. CV allows machines to make decisions based on images , like:  ✅ Identifying objects (cars, faces, animals).  ✅ Inspecting products for defects in industries.  ✅ Detecting diseases from X-rays or MRIs.  ✅ Assisting self-driving cars in understanding the road. Since AI can analyze thousands of images faster than humans , it often performs better in tasks like facial recognition and object detection. How Digital Images Work A digital image is just a picture stored on a computer, made up of tiny squares called pixels (short for "picture elements"...