Advanced Python Proficiency Projects with Real-Life Problems#
1. Personal Health Tracker#
Real-Life Problem: Managing personal health metrics and fitness goals can be overwhelming.
Project: Develop a comprehensive health tracker that logs exercise, diet, and vital statistics, and provides insights and recommendations.
Skills Tested: Data manipulation, Pandas, Matplotlib, file handling, GUI (optional).
2. Smart Home Automation System#
Real-Life Problem: Managing home devices and settings can be complex.
Project: Create a smart home system that controls devices (lights, thermostat) based on user preferences and schedules.
Skills Tested: Object-oriented programming, APIs, file handling, GUI (optional).
3. Expense Management and Budgeting App#
Real-Life Problem: Tracking and managing personal expenses and budgeting effectively is crucial.
Project: Build an app that helps users track expenses, set budgets, and visualize financial data.
Skills Tested: Pandas, Matplotlib, file handling, data manipulation.
4. Online Learning Platform#
Real-Life Problem: Accessing and managing online courses and learning materials can be disorganized.
Project: Develop a platform where users can enroll in courses, track progress, and access learning resources.
Skills Tested: Web development (Flask/Django), file handling, object-oriented programming, APIs.
5. Automated Job Application System#
Real-Life Problem: Applying for multiple jobs can be tedious and time-consuming.
Project: Create a system that automates job applications, tracks application statuses, and manages follow-ups.
Skills Tested: Web scraping, file handling, object-oriented programming.
6. Customized News Aggregator#
Real-Life Problem: Finding relevant news across different sources can be challenging.
Project: Build an aggregator that customizes news feeds based on user interests and preferences.
Skills Tested: Web scraping, data manipulation, APIs, Pandas.
7. Recipe Finder and Meal Planner#
Real-Life Problem: Finding recipes based on dietary restrictions and preferences can be difficult.
Project: Develop an application that suggests recipes and plans meals based on user input and dietary needs.
Skills Tested: API integration, data manipulation, object-oriented programming.
9. Interactive Data Dashboard#
Real-Life Problem: Visualizing and interpreting complex data can be challenging.
Project: Build an interactive dashboard to display and explore complex datasets with filtering and drilling features.
Skills Tested: Data visualization with Plotly or Bokeh, Pandas, GUI (optional).
10. Advanced Budget Planner#
Real-Life Problem: Tracking complex financial transactions and investments can be challenging.
Project: Develop an advanced budgeting tool that includes features for tracking investments, debts, and savings goals.
Skills Tested: Pandas, Matplotlib, file handling, object-oriented programming.
11. Personalized Fitness App#
Real-Life Problem: Tailoring fitness routines and tracking progress can be complex.
Project: Create an app that personalizes fitness plans, tracks workouts, and provides progress insights.
Skills Tested: Data analysis, object-oriented programming, GUI (optional), file handling.
12. Smart Contact Manager#
Real-Life Problem: Managing and organizing a large number of contacts can be cumbersome.
Project: Build a smart contact manager that categorizes, searches, and synchronizes contacts across platforms.
Skills Tested: Object-oriented programming, file handling, APIs.
13. Automated Resume Builder#
Real-Life Problem: Creating and customizing resumes for various job applications can be time-consuming.
Project: Develop a tool that generates and customizes resumes based on user input and templates.
Skills Tested: File handling, object-oriented programming, GUI (optional).
14. AI-Powered Chatbot#
Real-Life Problem: Automating customer support and inquiries can be complex.
Project: Create an AI-powered chatbot that uses machine learning to respond to user queries and provide assistance.
Skills Tested: Natural Language Processing (NLP), machine learning, object-oriented programming.
15. Travel Expense Tracker#
Real-Life Problem: Managing travel expenses and budgets can be challenging.
Project: Develop an application to track and categorize travel expenses, and generate reports.
Skills Tested: Data manipulation, file handling, Pandas, Matplotlib.
16. Local Event Finder#
Real-Life Problem: Finding local events and activities that match personal interests can be difficult.
Project: Build an application that finds and displays local events based on user preferences and location.
Skills Tested: API integration, data manipulation, object-oriented programming.
17. Real-Time Traffic Monitor#
Real-Life Problem: Monitoring and managing traffic data in real time is essential for navigation and planning.
Project: Create a tool that monitors and visualizes real-time traffic data from various sources.
Skills Tested: API integration, data visualization, Pandas.
18. Health and Wellness Blog Platform#
Real-Life Problem: Managing and publishing health and wellness content can be complex.
Project: Develop a blog platform with features for content creation, user interaction, and analytics.
Skills Tested: Web development (Flask/Django), file handling, object-oriented programming.
19. Virtual Book Club#
Real-Life Problem: Managing and participating in virtual book clubs can be challenging.
Project: Build a platform where users can discuss books, track reading progress, and organize virtual meetings.
Skills Tested: Web development, file handling, object-oriented programming.
20. Interactive Learning Platform for Kids#
Real-Life Problem: Engaging and educating children through interactive content can be difficult.
Project: Create an educational platform with interactive lessons, quizzes, and games for kids.
Skills Tested: Web development, object-oriented programming, file handling.
21. Automated Email Organizer#
Real-Life Problem: Managing and organizing a large volume of emails can be overwhelming.
Project: Develop a tool that automatically sorts and organizes emails based on rules and categories.
Skills Tested: Email handling, file processing, object-oriented programming.
22. Advanced Weather Forecasting Tool#
Real-Life Problem: Accurate and detailed weather forecasting is crucial for planning and safety.
Project: Create a tool that provides advanced weather forecasts and historical weather analysis.
Skills Tested: API integration, data analysis, visualization with Matplotlib or Seaborn.
23. Virtual Personal Assistant#
Real-Life Problem: Managing daily tasks and schedules efficiently can be challenging.
Project: Build a virtual personal assistant that helps users with scheduling, reminders, and task management.
Skills Tested: Natural Language Processing (NLP), object-oriented programming, file handling.
24. AI-Driven Stock Market Analysis#
Real-Life Problem: Analyzing and predicting stock market trends can be complex and data-intensive.
Project: Develop an AI tool to analyze stock market data and provide investment insights.
Skills Tested: Machine learning, data analysis, Pandas, Matplotlib.
25. Dynamic Recipe Suggestion Engine#
Real-Life Problem: Finding recipes that match available ingredients and dietary needs can be challenging.
Project: Create an engine that dynamically suggests recipes based on user input and preferences.
Skills Tested: API integration, data manipulation, object-oriented programming.
26. Advanced Fitness and Nutrition Tracker#
Real-Life Problem: Monitoring fitness and nutrition in detail requires advanced tracking and analytics.
Project: Build a comprehensive tracker for workouts, nutrition, and health metrics with detailed reporting.
Skills Tested: Data analysis, file handling, Pandas, Matplotlib.
27. Event Management System#
Real-Life Problem: Organizing and managing events efficiently can be complex.
Project: Develop a system for event scheduling, registration, and management with user notifications.
Skills Tested: Web development (Flask/Django), file handling, object-oriented programming.
28. Virtual Museum Tour Application#
Real-Life Problem: Accessing and exploring museum exhibits virtually can be limited.
Project: Create an interactive application that offers virtual tours of museum exhibits with multimedia content.
Skills Tested: Web development, multimedia handling, object-oriented programming.
29. Personalized Learning Pathway System#
Real-Life Problem: Tailoring educational content to individual learning paths can be challenging.
Project: Develop a system that customizes learning pathways based on user performance and preferences.
Skills Tested: Machine learning, data analysis, web development.
30. Comprehensive Inventory Management System#
Real-Life Problem: Managing and tracking inventory across multiple categories and locations is complex.
Project: Build a robust inventory management system with features for tracking stock levels, orders, and suppliers.
Skills Tested: Object-oriented programming, file handling, Pandas.
31. Real-Time Chat Application#
Real-Life Problem: Real-time communication and messaging are crucial for many applications.
Project: Develop a real-time chat application with features for group chats, notifications, and user management.
Skills Tested: Web development, socket programming, object-oriented programming.
32. Automated Data Entry System#
Real-Life Problem: Manually entering data into systems can be time-consuming and error-prone.
Project: Create a tool that automates data entry from various sources into a central database.
Skills Tested: Data processing, file handling, APIs.
33. Interactive Budget Visualization Tool#
Real-Life Problem: Understanding and visualizing personal or organizational budgets can be complex.
Project: Develop an interactive tool that visualizes budget data with customizable charts and reports.
Skills Tested: Data visualization, Pandas, Matplotlib, Seaborn.
34. AI-Based Content Recommendation System#
Real-Life Problem: Recommending relevant content to users based on their preferences can improve engagement.
Project: Build an AI-based system that recommends articles, videos, or products based on user behavior.
Skills Tested: Machine learning, data analysis, APIs.
35. Dynamic Travel Itinerary Generator#
Real-Life Problem: Planning and organizing travel itineraries can be complex and time-consuming.
Project: Create a generator that produces dynamic travel itineraries based on user preferences and constraints.
Skills Tested: API integration, data manipulation, object-oriented programming.
37. Virtual Personal Finance Advisor#
Real-Life Problem: Getting personalized financial advice and planning can be complex.
Project: Build an advisor tool that provides financial planning and investment advice based on user data.
Skills Tested: Machine learning, data analysis, Pandas, Matplotlib.
38. Advanced Document Management System#
Real-Life Problem: Managing and organizing documents in an efficient and searchable manner can be challenging.
Project: Create a document management system with features for indexing, searching, and organizing documents.
Skills Tested: File handling, object-oriented programming, data indexing.
39. Real-Time Language Translation App#
Real-Life Problem: Language barriers can hinder communication in various contexts.
Project: Develop an app that provides real-time language translation using machine learning models.
Skills Tested: Natural Language Processing (NLP), machine learning, API integration.
40. Dynamic Expense Splitter#
Real-Life Problem: Splitting expenses among a group of people can be complex and prone to errors.
Project: Build an application that dynamically calculates and splits expenses among multiple users, tracking payments and balances.
Skills Tested: Data manipulation, object-oriented programming, file handling.
41. Smart Task Management System#
Real-Life Problem: Managing tasks and deadlines effectively can be challenging.
Project: Develop a task management system that prioritizes tasks, sets deadlines, and provides reminders.
Skills Tested: Object-oriented programming, file handling, GUI (optional).
42. Interactive Crime Data Analysis Tool#
Real-Life Problem: Analyzing and understanding crime data is important for safety and policy-making.
Project: Create a tool that visualizes and analyzes crime data with interactive charts and maps.
Skills Tested: Data visualization, Pandas, Matplotlib, GIS tools.
43. Virtual Reality Learning Module#
Real-Life Problem: Engaging educational content through virtual reality can enhance learning experiences.
Project: Develop a VR module for educational content, including interactive lessons and simulations.
Skills Tested: VR development, multimedia handling, object-oriented programming.
44. Advanced Personal Scheduler#
Real-Life Problem: Managing personal schedules, appointments, and reminders can be complex.
Project: Build an advanced scheduler with features for handling multiple calendars, scheduling conflicts, and reminders.
Skills Tested: File handling, object-oriented programming, GUI (optional).
45. Automated Market Basket Analysis#
Real-Life Problem: Analyzing customer purchase patterns is crucial for businesses to optimize sales strategies.
Project: Create a tool that performs market basket analysis to identify associations and patterns in purchase data.
Skills Tested: Data analysis, machine learning, Pandas.
46. Dynamic Data Aggregation Tool#
Real-Life Problem: Aggregating and analyzing data from various sources can be complex and time-consuming.
Project: Develop a tool that aggregates data from multiple sources and provides unified analysis and visualization.
Skills Tested: API integration, data manipulation, Pandas, Matplotlib.
47. Advanced Personal Dashboard#
Real-Life Problem: Tracking and visualizing personal data across various domains (finances, health, etc.) can be challenging.
Project: Build an advanced personal dashboard that integrates data from multiple sources and provides insights.
Skills Tested: Data integration, visualization, Pandas, GUI (optional).
48. Automated Customer Feedback Analysis#
Real-Life Problem: Analyzing customer feedback and reviews can provide valuable insights for businesses.
Project: Create a system that automatically analyzes and categorizes customer feedback using NLP.
Skills Tested: Natural Language Processing (NLP), data analysis, machine learning.
49. Real-Time Sports Statistics Tracker#
Real-Life Problem: Tracking and analyzing sports statistics in real-time can be crucial for fans and analysts.
Project: Develop a tool that tracks and visualizes real-time sports statistics and player performance.
Skills Tested: API integration, data visualization, Pandas.
50. AI-Powered Document Summarizer#
Real-Life Problem: Summarizing large volumes of documents and texts efficiently is important for research and review.
Project: Build an AI tool that summarizes lengthy documents and articles using machine learning models.
Skills Tested: Natural Language Processing (NLP), machine learning, object-oriented programming.
Advanced Python Proficiency Projects with Real-Life Problems#
1. Personal Health Tracker#
Hint: Start by designing a data model to store health metrics and user profiles. Use Pandas for data analysis and Matplotlib for visualization. Implement a simple GUI using Tkinter or a web interface with Flask/Django.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or BeeWare.
2. Smart Home Automation System#
Hint: Use APIs to interface with smart devices (e.g., Philips Hue, Nest). Create a backend server to handle device control logic. Implement scheduling features and user preferences using object-oriented programming.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with existing home automation APIs.
3. Expense Management and Budgeting App#
Hint: Design a database schema for expenses and budgets. Use Pandas for data manipulation and Matplotlib/Seaborn for visualizations. Implement a user interface for entering and viewing expenses.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
4. Online Learning Platform#
Hint: Develop a web application using Flask or Django. Implement features for course management, user enrollment, and progress tracking. Use databases to manage course content and user data.
Android App: Yes, can be implemented as an Android app using web views or frameworks like Flutter.
5. Automated Job Application System#
Hint: Use web scraping to gather job listings and automate application submissions. Implement a tracking system for application statuses and reminders using a database.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with job listing APIs.
6. Customized News Aggregator#
Hint: Use APIs from news services to gather articles. Implement filters and preferences using Pandas. Display the news in a user-friendly format using a web interface or GUI.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
7. Recipe Finder and Meal Planner#
Hint: Use recipe APIs to gather recipes based on ingredients. Implement a search and filtering system with Pandas. Create meal plans based on dietary restrictions.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with recipe APIs.
8. Social Media Sentiment Analyzer#
Hint: Use web scraping to collect social media posts. Apply NLP techniques to analyze sentiment. Visualize sentiment trends using Matplotlib or Seaborn.
Android App: No, this is typically more suited for web-based applications or standalone scripts.
9. Interactive Data Dashboard#
Hint: Use Plotly or Bokeh to create interactive charts. Integrate Pandas for data handling. Design the dashboard layout and interactive elements for user exploration.
Android App: No, best suited for web-based applications due to the need for interactive visualizations.
10. Advanced Budget Planner#
Hint: Implement features for tracking various financial aspects (investments, savings) using Pandas. Create detailed reports and visualizations with Matplotlib.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
11. Personalized Fitness App#
Hint: Track user workouts and nutrition using a database. Provide personalized fitness plans and progress tracking with data visualization.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or Flutter.
12. Smart Contact Manager#
Hint: Implement a system for categorizing and managing contacts. Use a database to store contact information and integrate search and sync features.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
13. Automated Resume Builder#
Hint: Develop templates for resumes and create a system to fill in user details dynamically. Export resumes in different formats (e.g., PDF).
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by exporting PDFs directly.
14. AI-Powered Chatbot#
Hint: Use NLP libraries (like NLTK or spaCy) to train the chatbot. Implement conversation logic and integrate with a messaging interface.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or integrating with chatbot APIs.
15. Travel Expense Tracker#
Hint: Implement features for tracking expenses and generating reports. Use Pandas for data analysis and visualization.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
16. Local Event Finder#
Hint: Use APIs to gather local event data. Implement search and filter functionality based on user interests and location.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with event APIs.
17. Real-Time Traffic Monitor#
Hint: Collect traffic data from APIs and visualize it in real-time. Implement features for monitoring traffic conditions and route optimization.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with traffic data APIs.
18. Health and Wellness Blog Platform#
Hint: Develop a blogging platform using Flask or Django. Include features for content creation, user interaction, and analytics.
Android App: Yes, can be implemented as an Android app using web views or frameworks like Flutter.
19. Virtual Book Club#
Hint: Create a platform for book discussions, tracking reading progress, and organizing meetings. Use web development for the core features.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
20. Interactive Learning Platform for Kids#
Hint: Design educational content with interactive elements. Use web development tools or Python libraries to create engaging lessons and quizzes.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
21. Automated Email Organizer#
Hint: Implement rules and filters to categorize and sort emails. Use email APIs for integration and automation.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with email services.
22. Advanced Weather Forecasting Tool#
Hint: Use weather APIs to gather data. Implement advanced forecasting models and visualize the data with interactive charts.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
23. Virtual Personal Assistant#
Hint: Use NLP to process user requests. Implement features for scheduling, reminders, and task management.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with voice assistants.
24. AI-Based Stock Market Analysis#
Hint: Apply machine learning models to analyze stock data. Implement features for trend prediction and visualization.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
25. Dynamic Recipe Suggestion Engine#
Hint: Use recipe APIs and create algorithms for recipe suggestions based on available ingredients and dietary preferences.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with recipe APIs.
26. Advanced Fitness and Nutrition Tracker#
Hint: Implement comprehensive tracking for fitness activities and nutritional intake. Use data analysis and visualization for progress reports.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
27. Event Management System#
Hint: Build a system for organizing and managing events with features for registration, scheduling, and notifications.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or Flutter.
28. Virtual Museum Tour Application#
Hint: Develop a VR application with interactive museum exhibits and multimedia content. Use VR development tools and libraries.
Android App: Yes, can be implemented as an Android app using frameworks like Unity or Unreal Engine.
29. Personalized Learning Pathway System#
Hint: Create a system that adapts learning content based on user performance. Use machine learning to personalize pathways and track progress.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or Flutter.
30. Comprehensive Inventory Management System#
Hint: Build a system to manage inventory with features for stock tracking, orders, and supplier management. Use databases for data storage.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
31. Real-Time Chat Application#
Hint: Develop a real-time chat application with features for group chats and notifications. Use socket programming for real-time communication.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or Flutter.
32. Automated Data Entry System#
Hint: Create a system to automate data entry from various formats (e.g., CSV, JSON). Use file handling and data processing techniques.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with file handling APIs.
33. Interactive Budget Visualization Tool#
Hint: Develop a tool that visualizes budget data with customizable charts. Use Matplotlib or Seaborn for visualizations and Pandas for data handling.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
34. AI-Based Content Recommendation System#
Hint: Build a recommendation system using machine learning algorithms. Implement features for personalized content suggestions based on user behavior.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with recommendation APIs.
35. Dynamic Travel Itinerary Generator#
Hint: Create a generator for travel itineraries based on user preferences and constraints. Use APIs for travel information and integrate with a calendar.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
36. Automated Social Media Scheduler#
Hint: Develop a tool for scheduling and managing social media posts. Use APIs to interact with social media platforms and automate posting.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with social media APIs.
37. Virtual Personal Finance Advisor#
Hint: Create a tool that provides personalized financial advice using machine learning models. Implement features for financial planning and investment analysis.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
38. Advanced Document Management System#
Hint: Build a system for managing and organizing documents with features for indexing and searching. Use databases for document storage and retrieval.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
39. Real-Time Language Translation App#
Hint: Develop an app that provides real-time language translation using NLP models. Integrate with translation APIs for dynamic language processing.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with translation APIs.
40. Dynamic Expense Splitter#
Hint: Create an application that calculates and splits expenses among multiple users. Implement features for tracking payments and balances.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
41. Smart Task Management System#
Hint: Develop a system for task management with features for prioritization and reminders. Use object-oriented programming and optionally a GUI for interaction.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or Flutter.
42. Interactive Crime Data Analysis Tool#
Hint: Create a tool for analyzing and visualizing crime data with interactive charts and maps. Use Pandas for data analysis and Matplotlib for visualization.
Android App: No, best suited for web-based applications due to the need for interactive visualizations and maps.
43. Virtual Reality Learning Module#
Hint: Develop a VR module with interactive educational content. Use VR development tools and libraries to create immersive learning experiences.
Android App: Yes, can be implemented as an Android app using VR development frameworks like Unity or Unreal Engine.
44. Advanced Personal Scheduler#
Hint: Build a scheduler with features for handling multiple calendars and scheduling conflicts. Implement reminders and user preferences.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
45. Automated Market Basket Analysis#
Hint: Implement market basket analysis to identify associations in purchase data. Use data analysis and machine learning techniques to find patterns.
Android App: No, typically better suited for data analysis tools or web-based applications.
46. Dynamic Data Aggregation Tool#
Hint: Develop a tool for aggregating data from multiple sources. Implement features for unified analysis and visualization.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
47. Advanced Personal Dashboard#
Hint: Create a dashboard integrating data from various sources with visualization features. Use Pandas and Matplotlib for data handling and visualization.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
48. Automated Customer Feedback Analysis#
Hint: Build a system to analyze and categorize customer feedback using NLP techniques. Implement sentiment analysis and reporting features.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with NLP APIs.
49. Real-Time Sports Statistics Tracker#
Hint: Develop a tool that tracks and visualizes real-time sports statistics. Use APIs to gather data and implement real-time updating features.
Android App: Yes, can be implemented as an Android app using frameworks like Flutter or Kivy.
50. AI-Powered Document Summarizer#
Hint: Build an AI tool to summarize lengthy documents using machine learning models. Implement features for text processing and summarization.
Android App: Yes, can be implemented as an Android app using libraries like Kivy or by integrating with NLP APIs.
8. Social Media Sentiment Analyzer#
Real-Life Problem: Understanding public sentiment on social media can provide valuable insights.
Project: Create a tool that analyzes sentiment from social media posts and generates reports.
Skills Tested: Natural Language Processing (NLP), web scraping, data visualization.