Student Projects
Student Projects
Student Projects
Check out the projects that help our students stand out in the job search.
Check out the projects that help our students stand out in the job search.
Check out the projects that help our students stand out in the job search.
Full-stack student projects
Full-stack student projects
LearningFuze web development students build full-stack applications using front-end and back-end components. Students handle scope, infrastructure setup, deployment and include features like authentication, authorization, and monitoring.
LearningFuze web development students build full-stack applications using front-end and back-end components. Students handle scope, infrastructure setup, deployment and include features like authentication, authorization, and monitoring.
A web application for TV show fanatics who want to document and keep track of personal show reviews.
Technologies Used
HTML, CSS, JavaScript
A web application for TV show fanatics who want to document and keep track of personal show reviews.
Technologies Used
HTML, CSS, JavaScript
A web application for TV show fanatics who want to document and keep track of personal show reviews.
Technologies Used
HTML, CSS, JavaScript
A web application for TV show fanatics who want to document and keep track of personal show reviews.
Technologies Used
HTML, CSS, JavaScript
A full stack web application that allows users to blog about their traveling adventures.
Technologies Used
HTML, CSS, JavaScript, React, Tailwind, Node/Express, PostgreSQL
A full stack web application that allows users to blog about their traveling adventures.
Technologies Used
HTML, CSS, JavaScript, React, Tailwind, Node/Express, PostgreSQL
A full stack web application that allows users to blog about their traveling adventures.
Technologies Used
HTML, CSS, JavaScript, React, Tailwind, Node/Express, PostgreSQL
A full stack web application that allows users to blog about their traveling adventures.
Technologies Used
HTML, CSS, JavaScript, React, Tailwind, Node/Express, PostgreSQL
A full stack ecommerce solo project for Darling Doll Cosmetics.
Technologies Used
ReactJS, TypeScript, TailwiindCSS, NodeJS ExpressJS, PostgreSQL
A full stack ecommerce solo project for Darling Doll Cosmetics.
Technologies Used
ReactJS, TypeScript, TailwiindCSS, NodeJS ExpressJS, PostgreSQL
A full stack ecommerce solo project for Darling Doll Cosmetics.
Technologies Used
ReactJS, TypeScript, TailwiindCSS, NodeJS ExpressJS, PostgreSQL
A full stack ecommerce solo project for Darling Doll Cosmetics.
Technologies Used
ReactJS, TypeScript, TailwiindCSS, NodeJS ExpressJS, PostgreSQL
Full-stack virtual sports book, where users can try online sports betting for the first time.
Technologies Used
React, TypeScript, Tailwind CSS, Vite, PostgreSQL, JSON Web Tokens, Argon2
Full-stack virtual sports book, where users can try online sports betting for the first time.
Technologies Used
React, TypeScript, Tailwind CSS, Vite, PostgreSQL, JSON Web Tokens, Argon2
Full-stack virtual sports book, where users can try online sports betting for the first time.
Technologies Used
React, TypeScript, Tailwind CSS, Vite, PostgreSQL, JSON Web Tokens, Argon2
Full-stack virtual sports book, where users can try online sports betting for the first time.
Technologies Used
React, TypeScript, Tailwind CSS, Vite, PostgreSQL, JSON Web Tokens, Argon2
Writ99 harnesses the power of advanced AI to offer real-time, constructive feedback on student writing.
Technologies Used
HTML, CSS, JavaScript, TypeScript
Writ99 harnesses the power of advanced AI to offer real-time, constructive feedback on student writing.
Technologies Used
HTML, CSS, JavaScript, TypeScript
Writ99 harnesses the power of advanced AI to offer real-time, constructive feedback on student writing.
Technologies Used
HTML, CSS, JavaScript, TypeScript
Writ99 harnesses the power of advanced AI to offer real-time, constructive feedback on student writing.
Technologies Used
HTML, CSS, JavaScript, TypeScript
A dynamic web application for tracking space launches using data from the space devs API and Weather bit API.
Technologies Used
TypeScript, JavaScript, React, Tailwind CSS, Node.js, Express.js, PostgreSQL, HTML5,CSS3
A dynamic web application for tracking space launches using data from the space devs API and Weather bit API.
Technologies Used
TypeScript, JavaScript, React, Tailwind CSS, Node.js, Express.js, PostgreSQL, HTML5,CSS3
A dynamic web application for tracking space launches using data from the space devs API and Weather bit API.
Technologies Used
TypeScript, JavaScript, React, Tailwind CSS, Node.js, Express.js, PostgreSQL, HTML5,CSS3
A dynamic web application for tracking space launches using data from the space devs API and Weather bit API.
Technologies Used
TypeScript, JavaScript, React, Tailwind CSS, Node.js, Express.js, PostgreSQL, HTML5,CSS3
Data science student projects
Data science student projects
LearningFuze data science students complete various projects throughout the course including classification models to analyze and categorize data and NLP projects built to understand human language.
LearningFuze data science students complete various projects throughout the course including classification models to analyze and categorize data and NLP projects built to understand human language.
Natural language processing (NLP) to monitor Tweets on X for signals of a natural disaster.
Technologies Used
Python, Pandas, Naive Bayes, Vectorization, NLP
Natural language processing (NLP) to monitor Tweets on X for signals of a natural disaster.
Technologies Used
Python, Pandas, Naive Bayes, Vectorization, NLP
Natural language processing (NLP) to monitor Tweets on X for signals of a natural disaster.
Technologies Used
Python, Pandas, Naive Bayes, Vectorization, NLP
Feature engineering and advanced regression techniques used to predict the sale price of houses in Ames, Iowa, ranking in the top 12% of Kaggle submissions.
Technologies Used
Python, Pandas, Sklearn, XGBoost
Feature engineering and advanced regression techniques used to predict the sale price of houses in Ames, Iowa, ranking in the top 12% of Kaggle submissions.
Technologies Used
Python, Pandas, Sklearn, XGBoost
Feature engineering and advanced regression techniques used to predict the sale price of houses in Ames, Iowa, ranking in the top 12% of Kaggle submissions.
Technologies Used
Python, Pandas, Sklearn, XGBoost
Classification model aimed at predicting the likelihood of loan default among applicants.
Technologies Used
Python, Pandas, Numpy, Matplotlib, Seaborn package, Keras, XGBoost version:
Classification model aimed at predicting the likelihood of loan default among applicants.
Technologies Used
Python, Pandas, Numpy, Matplotlib, Seaborn package, Keras, XGBoost version:
Classification model aimed at predicting the likelihood of loan default among applicants.
Technologies Used
Python, Pandas, Numpy, Matplotlib, Seaborn package, Keras, XGBoost version:
Ready to get started?
Book an info session and take the next steps for a lucrative career in software or data
Ready to get started?
Book an info session and take the next steps for a lucrative career in software or data
Ready to get started?
Book an info session and take the next steps for a lucrative career in software or data