Project Menu

Start with a simple scraper that pulls data from any website of your choice, such as product listings or articles.

Build a bot that not only scrapes data but also logs in, clicks through pages, and performs actions like a user.

Scrape and consolidate data from multiple websites to analyze trends in fields like sports, business, or finance.

Collect and update real-time sports statistics from websites, ideal for building a live sports dashboard or analytics tool.

This project helps you categorize or sort things into groups, like predicting if a person has a disease or whether a customer is likely to buy a product. You'll build a model that looks at past data and learns to make decisions.

Create a model that predicts numbers, such as estimating housing prices or forecasting next month’s temperature. You'll use past data to find patterns and predict future values.

Build a recommendation system like those used by Netflix or Amazon. It will learn to suggest products, shows, or content to users based on their past preferences.

This project groups similar items together automatically, such as grouping customers by buying habits or identifying unusual data. The model finds patterns and organizes items into clusters without needing pre-set labels.

Start with a simple trading bot that buys and sells based on basic technical indicators like moving averages or relative strength index (RSI).

Set up a backtesting environment to test different trading strategies using historical data to evaluate their performance.

Build a system to collect real-time market data from APIs or financial websites, useful for making informed trading decisions.

Create a tool that calculates risk and adjusts trades automatically based on predefined risk tolerance levels.

Learn to create a variety of charts and graphs using Python libraries like Matplotlib and Seaborn. From simple bar charts to complex heatmaps, this project focuses on visualizing data effectively. This template covers line charts for trends, scatter plots for correlations, pie charts for proportions, and histograms for distributions.

Work on cleaning and preparing raw datasets to be ready for analysis. This template includes handling missing data, normalizing values, and removing duplicates using Python libraries like Pandas and NumPy. Essential for improving data quality before any modeling is done.

Perform an in-depth analysis on data from specific fields such as sports, climate, or finance. This template walks you through the steps of collecting data, cleaning it, and conducting meaningful analysis using statistical techniques and machine learning models. You can explore patterns in sports statistics, analyze weather trends, or evaluate financial market data.

This template combines data modeling with web development, allowing you to showcase your data visualizations on a web platform. After building your models and generating charts, you’ll learn how to integrate these visualizations into a website using web frameworks like Django or Flask. Ideal for creating a dynamic portfolio of your data analysis work.

Start with a simple HTML, CSS, and JavaScript template to build static websites. Ideal for personal portfolios or business landing pages.

Learn to create a mobile-friendly, responsive web layout using CSS Grid and Flexbox. This template includes best practices for building websites that adapt to different screen sizes.

Create a dynamic web application using Python's Django or Flask. This template introduces server-side development, routing, and database integration for interactive apps.

Build an eCommerce site with features like product listings, shopping cart functionality, and payment integration. Learn to manage inventory and orders while incorporating user authentication.

Set up a virtual environment to perform penetration testing. Learn to identify vulnerabilities in web apps and networks using tools like Metasploit and Nmap.

Create an encryption tool that uses cryptography to secure sensitive data. Learn how to apply algorithms like AES or RSA to protect user information.

Build a secure login system using technologies like OAuth, JWT, or multi-factor authentication. Learn to implement user roles and permissions to protect sensitive data.

Develop a simple intrusion detection system that monitors network traffic and identifies suspicious activity. This template helps students understand network security principles and data analysis techniques.

Build a chatbot that can interact with users using natural language processing. This template guides you through creating a simple conversational AI using tools like Rasa or Dialogflow.

Create an AI-powered image classifier using deep learning frameworks like TensorFlow or PyTorch. Train the model to recognize and categorize images from datasets.

Develop a speech-to-text application using machine learning libraries. This template helps students implement speech recognition for voice-based commands or transcription services.

Design an AI-powered recommendation system that suggests content, products, or services to users based on their preferences and interactions.

Create a 2D platformer game using Python's Pygame library. Learn about game loops, sprite management, and physics to develop a basic game.

Start with a simple text-based game where players navigate through scenarios based on choices. Focus on narrative design and decision trees using Python.

Build a multiplayer game using JavaScript and WebSockets. Learn how to synchronize gameplay across different users in real-time.

Develop a physics-based simulation for games, focusing on gravity, collision detection, and object interactions in a virtual world.