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MIS2402-Project

This was a wonderful experience to build my website from the ground up and see it work for others.

MIS2402-Project

For this project, I created two special-purpose web calculators using HTML, CSS, JavaScript, jQuery, and Bootstrap. To begin, the first special purpose calculator was made through AI coding of which it built a loan repayment calculator  based on a prompt I sent forth. This calculator was a loan repayment calculator that calculated monthly payments, total amount paid, and total interest based on loan amount, APR, and loan term. The second calculator was a custom Yearly Coffee Budget Calculator that helps users estimate how much money they spend on coffee throughout the year. Both calculators were tested for accurate calculations and proper input validation. It also implemented JavaScript, HTML, CSS, jQuery, and Bootstrap in order to allow the calculators to actually function properly. My project URLs are: https://misdemo.temple.edu/tul62755r/project/ and https://misdemo.temple.edu/tul62755r/project2/.  This project taught me how I can use AI combined with coding for real-life purposes.

Rusafa Laskar-MIS2402-Project

For my Decision Tree Project, I analyzed a dataset related to student academic performance to better understand the factors that influence student success. This project was completed as part of my Management Information Systems and Technology coursework at Temple University. Using Python, I built a decision tree model to predict student outcomes based on variables such as study habits, attendance, grades, and other academic indicators.

My role in the project involved cleaning and preparing the dataset, performing exploratory data analysis, building and testing the decision tree model, and interpreting the results. Through this experience, I strengthened my technical skills in data analysis, Python programming, and machine learning while also improving my problem-solving and critical-thinking abilities. I learned how predictive analytics can be used to identify patterns in educational data and support data-driven decision-making. This project further increased my interest in technology, cybersecurity, and data-driven solutions within the field of information systems.

My assignment analyzes a shoes sales dataset, predicting the likelihood f customers purchasing the shoes. This included online, retail stores, and mall transactions. The analysis identifies patterns in customer purchasing behavior and helps businesses make smarter inventory/marketing decisions. Overall, this assignment demonstrates that machine learning can help companies better understand consumer behavior and optimize clear sales. Pro Point Xtra Credit- Samantha Rogers

In this class, we were given a final project that required us to use our knowledge in JavaScript and HTML with AI to create the code for a Loan Repayment Calculator and our own special purpose calculator. This project was expected to be completed as a one person task. I first completed the Loan Repayment Calculator and was instructed to calculate the amount of money that goes into a loan, the interest percentage, and the monthly payment. After completing that, we were given the choice of creating our calculator of any choice. Since I like plants and the earth, I chose to create a Succulent Longevity Calculator. This calculator uses the following:

• Light Exposure (hours)
• Water (Ounces)
• Temperature (ºF)

The factors listed above calculate how long your succulent will live depending on the controlled circumstances given. If the plant is in conditions that are not suitable for the longevity of its life, there is a message that states that the “Environment [is] not suitable for survival.” On the other hand, if you enter the value zero for any, if not, all of the input boxes, there will be a message that states, “Invalid input. Check your values.”

I created this calculator because anyone can use it for their own personal growth in their green thumb journey and because I truly do love succulents and creativity.

Project URL: https://misdemo.temple.edu/tut26379c/project2/

As part of MIS 2402 (Web Application Development) at Temple University, taught by Professor Laurel Miller, I used Anthropic’s Claude as an AI development tool to design and build a functional web application from scratch. The project required prompting the AI to generate a single-file web application using HTML, CSS, JavaScript, jQuery, and Bootstrap — then deploying it to a live server via SSH (Secure Shell). For this project, I independently conceived a freelance rate calculator: a tool that takes a freelancer’s target income, business expenses, work schedule, and billable-hour percentage, and computes the minimum hourly rate required to meet their financial goals. My role was to define the requirements, verify the mathematical accuracy of the output against manual calculations, and confirm the application handled invalid input correctly before deployment. The project gave me hands-on experience using AI tools in a professional software development workflow, as well as practical exposure to web technologies and server-side file management.

This application can be found at:
Freelance Rate Calculator

“The goal of this project is to provide MIS students with additional hands-on experience in data
analysis and reinforce the concepts and methods covered in class.”

Created a decision tree through python using a selected data set (from Kaggle). Described the data set and how it can be useful for certain occupations. Adjusted the data and minimum split to better suit my desired outcome. Noted the highest and lowest probability. Used prediction analysis to provide at least 4 examples of data points. Learned how to properly analyze a data set.

For this project in MIS2502, I used a dataset about teen mental health to predict if someone is depressed or not. I built a decision tree model in JupyterLab and looked at things like social media use, sleep, stress, and anxiety. My role was to clean the data, run the model, and look at the results. I learned how to use decision trees on real data and how different factors can affect mental health. This project helped me get better at data analysis and using Python.