Python Code to remove Image Background
—————————————————————-
from rembg import remove
from PIL import Image

image_path = 'Image Name' ## ---> Change to Image name

output_image = 'ImageNew' ## ---> Change to new name your image

input = Image.open(image_path)

output = remove(input)

output.save(output_image)

𝗙𝗿𝗲𝘀𝗵𝗲𝗿𝘀 𝗴𝗲𝘁 𝟮𝟬 𝗟𝗣𝗔 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 𝗦𝗮𝗹𝗮𝗿𝘆 𝘄𝗶𝘁𝗵 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗜 𝗦𝗸𝗶𝗹𝗹𝘀😍

🚀IIT Roorkee Offering Data Science & AI Certification Program

Placement Assistance With 5000+ companies.

✅ Open to everyone
✅ 100% Online | 6 Months
✅ Industry-ready curriculum
✅ Taught By IIT Roorkee Professors

🔥 90% Resumes without Data Science + AI skills are being rejected

⏳ Deadline:: 8th February 2026

𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄 👇 :- 
 
https://pdlink.in/49UZfkX
 
✅ Limited seats only

Don't overwhelm to learn JavaScript, JavaScript is only this much

1.Variables
•  var
•  let
•  const

2. Data Types
•  number
•  string
•  boolean
•  null
•  undefined
•  symbol

3.Declaring variables
•  var
•  let
•  const

4.Expressions
Primary expressions
•  this
•  Literals
•  []
•  {}
•  function
•  class
•  function*
•  async function
•  async function*
•  /ab+c/i
•  string
•  ( )

Left-hand-side expressions
•  Property accessors
•  ?.
•  new
•  new .target
•  import.meta
•  super
•  import()

5.operators
•  Arithmetic Operators: +, -, *, /, %
•  Comparison Operators: ==, ===, !=, !==, <, >, <=, >=
•  Logical Operators: &&, ||, !

6.Control Structures
•  if
•  else if
•  else
•  switch
•  case
•  default

7.Iterations/Loop
•  do...while
•  for
•  for...in
•  for...of
•  for await...of
•  while

8.Functions
•  Arrow Functions
•  Default parameters
•  Rest parameters
•  arguments
•  Method definitions
•  getter
•  setter

9.Objects and Arrays
•  Object Literal: { key: value }
•  Array Literal: [element1, element2, ...]
•  Object Methods and Properties
•  Array Methods: push(), pop(), shift(), unshift(),
   splice(), slice(), forEach(), map(), filter()

10.Classes and Prototypes
•  Class Declaration
•  Constructor Functions
•  Prototypal Inheritance
•  extends keyword
•  super keyword
•  Private class features
•  Public class fields
•  static
•  Static initialization blocks

11.Error Handling
•  try,
•  catch,
•  finally (exception handling)

ADVANCED CONCEPTS

12.Closures
•  Lexical Scope
•  Function Scope
•  Closure Use Cases

13.Asynchronous JavaScript
•  Callback Functions
•  Promises
•  async/await Syntax
•  Fetch API
•  XMLHttpRequest

14.Modules
•  import and export Statements (ES6 Modules)
•  CommonJS Modules (require, module.exports)

15.Event Handling
•  Event Listeners
•  Event Object
•  Bubbling and Capturing

16.DOM Manipulation
•  Selecting DOM Elements
•  Modifying Element Properties
•  Creating and Appending Elements

17.Regular Expressions
•  Pattern Matching
•  RegExp Methods: test(), exec(), match(), replace()

18.Browser APIs
•  localStorage and sessionStorage
•  navigator Object
•  Geolocation API
•  Canvas API

19.Web APIs
•  setTimeout(), setInterval()
•  XMLHttpRequest
•  Fetch API
•  WebSockets

20.Functional Programming
•  Higher-Order Functions
•  map(), reduce(), filter()
•  Pure Functions and Immutability

21.Promises and Asynchronous Patterns
•  Promise Chaining
•  Error Handling with Promises
•  Async/Await

22.ES6+ Features
•  Template Literals
•  Destructuring Assignment
•  Rest and Spread Operators
•  Arrow Functions
•  Classes and Inheritance
•  Default Parameters
•  let, const Block Scoping

23.Browser Object Model (BOM)
•  window Object
•  history Object
•  location Object
•  navigator Object

24.Node.js Specific Concepts
•  require()
•  Node.js Modules (module.exports)
•  File System Module (fs)
•  npm (Node Package Manager)

25.Testing Frameworks
•  Jasmine
•  Mocha
•  Jest

📊 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍

✅ Free Online Course
💡 Industry-Relevant Skills
🎓 Certification Included

Upskill now and Get Certified 🎓

𝐋𝐢𝐧𝐤 👇:- 
 
https://pdlink.in/497MMLw
 
Get the Govt. of India Incentives on course completion🏆

SOME USEFUL  WEBSITES  ONLINE EDUCATIONAL SUPPORT

www.khanacademy.org
www.academicearths.org
www.coursera.com
www.edx.org
www.open2study.com
www.academicjournals.org
codeacademy.org
youtube.com/education


BOOK SITES
www.bookboon.com
http://ebookee.org
http://sharebookfree.com
http://m.freebooks.com
www.obooko.com
www.manybooks.net
www.epubbud.com
www.bookyards.com
www.getfreeebooks.com
http://freecomputerbooks.com
www.essays.se
www.sparknotes.com
www.pink.monkey.com



ANSWERS TO QUESTIONS
www.ehow.com
www.whatis.com
www.howstuffwork.com
www.webopedia.com
www.plagtracker.com
www.answers.com


SEARCH SITES
■ About.com (www.about.com)
■ AllTheWeb (www.alltheweb.com)
■ AltaVista (www.altavista.com)
■ Ask Jeeves! (www.askjeeves.com)
■ Excite (www.excite.com)
■ HotBot (www.hotbot.com)
■ LookSmart (www.looksmart.com)
■ Lycos (www.lycos.com)
■ Open Directory (www.dmoz.org)
■ Google (www.google.com)
■ Mamma (www.mamma.com)
■ Webcrawler (www.webcrawler.com)
■ Aol (www.aol.com)
■ Dogpile (www.dogpile.com)
■ 10pht (www.10pht.com)


SEARCHING FOR PEOPLE
■ AnyWho (www.anywho.com)
■ InfoSpace (www.infospace.com)
■ Switchboard (www.switchboard.com)
■ WhitePages.com (www.whitepages.com)
■ WhoWhere (www.whowhere.lycos.com)


SEARCHING FOR THE LATEST NEWS
■ ABC News (www.abcnews.com)
■ CBS News (www.cbsnews.com)
■ CNN (www.cnn.com)
■ Fox News (www.foxnews.com)
■ MSNBC (www.msnbc.com)
■ New York Times (www.nytimes.com)
■ USA Today (www.usatoday.com)


SEARCHING FOR SPORTS HEADLINES AND SCORES
■ CBS SportsLine (www.sportsline.com)
■ CNN/Sports Illustrated (sportsillustrated.cnn.com)
■ ESPN.com (espn.go.com)
■ FOXSports (foxsports.lycos.com)
■ NBC Sports (www.nbcsports.com)
■ The Sporting News (www.sportingnews.com)


SEARCHING FOR MEDICAL INFORMATION
■ healthAtoZ.com (www.healthatoz.com)
■ kidsDoctor (www.kidsdoctor.com)
■ MedExplorer (www.medexplorer.com)
■ MedicineNet (www.medicinenet.com)
■ National Library of Medicine
(www.nlm.nih.gov)
■ Planet Wellness (www.planetwellness.com)
■ WebMD Health (my.webmd.com)

𝗧𝗼𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗢𝗳𝗳𝗲𝗿𝗲𝗱 𝗕𝘆 𝗜𝗜𝗧 𝗥𝗼𝗼𝗿𝗸𝗲𝗲, 𝗜𝗜𝗠 & 𝗠𝗜𝗧😍

Placement Assistance With 5000+ Companies 

𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵
𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/4khp9E5

𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/4qkC4GP

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗪𝗶𝘁𝗵 𝗔𝗜 :- https://pdlink.in/4rwqIAm

Hurry..Up👉 Only Limited Seats Available

✅ Python basics for AI and data analysis

Python is the main language used to build AI models.

Why Python is used in AI
• Simple and readable
• Huge AI and data ecosystem
• Fast to experiment

How Python fits in AI workflow
• Load data
• Clean and transform data
• Train models
• Evaluate results

🏆 Core Python concepts you must know

Variables
Store values

Example
x = 10
name = "AI"

Data types
int → 10
float → 3.14
string → "data"
boolean → True or False

Lists
Ordered collection
Can store multiple values

Example
marks = [70, 80, 90]
Access marks[0] → 70

Tuples
Like lists but immutable
Example
shape = (100, 3)

Dictionaries
Key value pairs
Example
student = {"marks": 80, "age": 20}

Why dictionaries matter
• Store structured data
• Used in JSON, APIs

Control flow
If condition: Used for decisions

Example:
if score > 50:
print("Pass")

Loops
Repeat tasks

For loop
for i in range(5):
print(i)

Used for
Iterating over data
Running experiments

Functions
Reusable code blocks

Example
def average(a, b):
return (a + b) / 2

Why functions matter
• Cleaner code
• Modular logic

Libraries
Pre written code

Common AI libraries
• NumPy → Numerical computing, arrays, matrix operations
• Pandas → Data cleaning, transformation, and analysis
• SciPy → Scientific computing and advanced math functions
• Scikit-learn → Traditional machine learning models, preprocessing, evaluation
• XGBoost → High-performance gradient boosting
• TensorFlow → End-to-end deep learning framework
• PyTorch → Flexible deep learning research and production library
• Keras → High-level neural network API (runs on TensorFlow)
• OpenCV → Image and video processing
• NLTK → Text processing and linguistic tools
• SpaCy → Fast NLP for production
• Transformers (Hugging Face) → Pretrained LLMs and NLP models
• Matplotlib → Basic plotting
• Seaborn → Statistical visualization
• Plotly → Interactive visualizations

Python mindset for AI
• Think in data, not logic
• Use libraries, not raw loops
• Read error messages carefully

Python is the AI backbone. Basics are enough to start libraries do heavy lifting

Double Tap ♥️ For More

🎓 𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗪𝗶𝘁𝗵 𝗚𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁-𝗔𝗽𝗽𝗿𝗼𝘃𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗙𝗼𝗿 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 😍

✅ AI & ML
✅ Cloud Computing
✅ Cybersecurity
✅ Data Analytics & Full Stack Development

Earn industry-recognized certificates and boost your career 🚀

𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:- 
 
https://pdlink.in/4qgtrxU
 
Get the Govt. of India Incentives on course completion🏆

🚀 Coding Projects & Ideas 💻

Inspire your next portfolio project — from beginner to pro!

🏗️ Beginner-Friendly Projects

1️⃣ To-Do List App – Create tasks, mark as done, store in browser.
2️⃣ Weather App – Fetch live weather data using a public API.
3️⃣ Unit Converter – Convert currencies, length, or weight.
4️⃣ Personal Portfolio Website – Showcase skills, projects & resume.
5️⃣ Calculator App – Build a clean UI for basic math operations.

⚙️ Intermediate Projects

6️⃣ Chatbot with AI – Use NLP libraries to answer user queries.
7️⃣ Stock Market Tracker – Real-time graphs & stock performance.
8️⃣ Expense Tracker – Manage budgets & visualize spending.
9️⃣ Image Classifier (ML) – Classify objects using pre-trained models.
🔟 E-Commerce Website – Product catalog, cart, payment gateway.

🚀 Advanced Projects

1️⃣1️⃣ Blockchain Voting System – Decentralized & tamper-proof elections.
1️⃣2️⃣ Social Media Analytics Dashboard – Analyze engagement, reach & sentiment.
1️⃣3️⃣ AI Code Assistant – Suggest code improvements or detect bugs.
1️⃣4️⃣ IoT Smart Home App – Control devices using sensors and Raspberry Pi.
1️⃣5️⃣ AR/VR Simulation – Build immersive learning or game experiences.

💡 Tip: Build in public. Share your process on GitHub, LinkedIn & Twitter.

🔥 React ❤️ for more project ideas!

𝗛𝘂𝗿𝗿𝘆..𝗨𝗽...... 𝗟𝗮𝘀𝘁 𝗗𝗮𝘁𝗲 𝗶𝘀 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗶𝗻𝗴 

AI & Data Science Certification Program By IIT Roorkee 😍

🎓 IIT Roorkee E&ICT Certification
💻 Hands-on Projects
📈 Career-Focused Curriculum

Receive Placement Assistance with 5,000+ Companies

Deadline: 8th February 2026

𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗦𝗰𝗵𝗼𝗹𝗮𝗿𝘀𝗵𝗶𝗽 𝗧𝗲𝘀𝘁👇 :- 

https://pdlink.in/49UZfkX

✅ Limited seats only.

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 - 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬 😍

Learn Coding From Scratch - Lectures Taught By IIT Alumni

60+ Hiring Drives Every Month

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:- 

🌟 Trusted by 7500+ Students
🤝 500+ Hiring Partners
💼 Avg. Rs. 7.4 LPA
🚀 41 LPA Highest Package

Eligibility: BTech / BCA / BSc / MCA / MSc

𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰👇 :- 

https://pdlink.in/4hO7rWY

Hurry, limited seats available!

🔹 ARTIFICIAL INTELLIGENCE – INTERVIEW REVISION SHEET

1️⃣ What is Artificial Intelligence?
> “Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction.”

2️⃣ Types of AI
• Narrow AI: Specialized for specific tasks (e.g., voice assistants)
• General AI: Hypothetical AI that can perform any intellectual task that a human can do.

3️⃣ Key Concepts in AI
• Machine Learning (ML): A subset of AI that uses statistical techniques to enable machines to improve with experience.
• Deep Learning (DL): A subset of ML that uses neural networks with many layers to analyze various factors of data.

4️⃣ Machine Learning vs. Deep Learning
• ML: Requires feature extraction and often works well with structured data.
• DL: Automatically extracts features and excels with unstructured data like images and text.

5️⃣ Common Algorithms in AI
• Supervised Learning: Linear Regression, Decision Trees, Random Forest, Support Vector Machines.
• Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, PCA.
• Reinforcement Learning: Q-Learning, Deep Q-Networks.

6️⃣ Neural Networks Basics
• Neurons: Basic units of a neural network.
• Layers: Input layer, hidden layers, output layer.
• Activation Functions: Sigmoid, ReLU, Softmax.

7️⃣ Important Concepts in Deep Learning
• Overfitting vs. Underfitting: Overfitting occurs when the model learns noise; underfitting occurs when the model is too simple.
• Regularization Techniques: Dropout, L2 regularization.

8️⃣ Natural Language Processing (NLP)
• Key Tasks: Sentiment analysis, text classification, machine translation.
• Techniques: Tokenization, stemming, lemmatization, word embeddings (Word2Vec, GloVe).

9️⃣ Computer Vision
• Key Tasks: Image classification, object detection, image segmentation.
• Techniques: Convolutional Neural Networks (CNNs), Transfer Learning.

🔟 Reinforcement Learning
• Concepts: Agent, environment, actions, rewards.
• Algorithms: Q-Learning, Policy Gradients, Proximal Policy Optimization (PPO).

1️⃣1️⃣ Evaluation Metrics in AI
• Classification: Accuracy, Precision, Recall, F1 Score, ROC-AUC.
• Regression: Mean Absolute Error (MAE), Root Mean Squared Error (RMSE).
• Clustering: Silhouette score, Davies-Bouldin index.

1️⃣2️⃣ Tools and Frameworks for AI
• Libraries: TensorFlow, PyTorch, Keras, Scikit-learn.
• Platforms: Google Cloud AI, AWS SageMaker, Microsoft Azure AI.

1️⃣3️⃣ Explain Your AI Project (Template)
> “The goal was . I collected data using . I built a model and evaluated it using . The final outcome was _.”

1️⃣4️⃣ Ethical Considerations in AI
• Bias in algorithms
• Transparency and explainability
• Privacy concerns

1️⃣5️⃣ HR-Style Data Science Answers
Why AI?
> “I am passionate about creating intelligent systems that can solve real-world problems and improve efficiency.”
Biggest challenge:
“Ensuring model fairness and handling bias.”
Strength:
“Strong foundation in both theory and practical implementation of AI algorithms.”

🔥 LAST-DAY INTERVIEW TIPS
• Focus on problem-solving approach rather than just technical details.
• Be prepared to discuss trade-offs in model selection.
• Emphasize the impact of your work on business outcomes.

Double Tap ♥️ For More

𝟱 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟲😍

𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :- https://pdlink.in/497MMLw

𝗔𝗜 & 𝗠𝗟 :- https://pdlink.in/4bhetTu

𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴:- https://pdlink.in/3LoutZd

𝗖𝘆𝗯𝗲𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆:- https://pdlink.in/3N9VOyW

𝗢𝘁𝗵𝗲𝗿 𝗧𝗲𝗰𝗵 𝗖𝗼𝘂𝗿𝘀𝗲𝘀:- https://pdlink.in/4qgtrxU

🌟 Level up your career with these top 5 in-demand skills!

Frontend web development:

https://www.w3schools.com/html

https://www.w3schools.com/css

https://www.jschallenger.com

https://javascript30.com

https://t.me/webdevcoursefree/110

https://t.me/Programming_experts/107

Backend development:

https://learnpython.org/

https://t.me/pythondevelopersindia/314

https://www.geeksforgeeks.org/java/

https://introcs.cs.princeton.edu/java/11cheatsheet/

https://docs.microsoft.com/en-us/shows/beginners-series-to-nodejs/?languages=nodejs

Database:

https://mode.com/sql-tutorial/introduction-to-sql

https://www.sqltutorial.org/wp-content/uploads/2016/04/SQL-cheat-sheet.pdf

https://books.goalkicker.com/MySQLBook/MySQLNotesForProfessionals.pdf

https://docs.oracle.com/cd/B19306_01/server.102/b14200.pdf

https://leetcode.com/problemset/database/

Cloud Computing:

https://bit.ly/3aoxt1N

https://t.me/free4unow_backup/366

UI/UX:

https://www.freecodecamp.org/learn/responsive-web-design/

https://bit.ly/3r6F9xE

ENJOY LEARNING 👍👍

🎓 𝐀𝐜𝐜𝐞𝐧𝐭𝐮𝐫𝐞 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍

Boost your skills with 100% FREE certification courses from Accenture!

📚 FREE Courses Offered:
1️⃣ Data Processing and Visualization
2️⃣ Exploratory Data Analysis
3️⃣ SQL Fundamentals
4️⃣ Python Basics
5️⃣ Acquiring Data

𝐋𝐢𝐧𝐤 👇:- 

https://pdlink.in/4qgtrxU

✅ Learn Online | 📜 Get Certified

Top 10 Github Repositories For Web Developer

1. Web Developer-Roadmap : https://github.com/kamranahmedse/developer-roadmap

2. 30-Seconds-Of-Code : https://github.com/30-seconds/30-seconds-of-code

3. Awesome-Cheatsheets : https://github.com/LeCoupa/awesome-cheatsheets

4. CSS-Protips : https://github.com/AllThingsSmitty/css-protips

5. 33-JS-Concepts : https://github.com/leonardomso/33-js-concepts

6. You-Dont-Know-JS : https://github.com/getify/You-Dont-Know-JS/tree/2nd-ed

7. Front-End-Checklist : https://github.com/thedaviddias/Front-End-Checklist

8. Javascript-Questions : https://github.com/lydiahallie/javascript-questions

9. Clean-Code-Javascript : https://github.com/ryanmcdermott/clean-code-javascript

Join for more: https://t.me/webdevcoursefree

𝗔𝗜 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 🔥

Learn Artificial Intelligence without spending a single rupee.

📚 Learn Future-Ready Skills
🎓 Earn a Recognized Certificate
💡 Build Real-World Projects

🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗡𝗼𝘄 👇:-

https://pdlink.in/4bhetTu

Enroll Today for Free & Get Certified 🎓