Hello! I’m Raunak Mondal, a junior at Del Norte High School passionate about mathematics, machine learning, and computer vision. My GitHub profile is linked here, my LinkedIn is linked here, and my resume is linked here. My main skills include Full-Stack Development, Machine Learning, Scrum and Agile Methodology, and Frontend Development. Below are some of the many projects I’ve worked on in AP Computer Science A, AP Computer Science Principles, and in my free time.
| Project Name | Description | Link | Github Link | Demo Video |
|---|---|---|---|---|
| Iowa Hawkeyes Farming Website | Created a feature in the Iowa Hawkeyes Farming Website that allows users to bet on the actual fantasy points of a player during a game, which can either add or subtract to the cash that they have allocated in the entire Iowa Hawkeyes Farming system. | Link | Github Link | Video |
| A-REEL Board | Worked with a team to create a productivity-oriented website like Notion and Trello that could create GPT-generated summaries of notes taken during important meetings, send message alerts to individuals who needed to complete certain tasks, and had a scrum board where users could drag and drop tasks and assign them to different users. | Link | Github Link | N/A |
| Physics Arcade | In this project, I implemented a simulation of the solar system using fundamental concepts used in the AP Physics C: Mechanics class that I was taking simultaneously. I displayed object-oriented programming in this feature with the specific use of JavaScript in this feature. | Link | Github Link | Video |
| RECS Travel Website | As scrum master of the RECS Travel Website Team, I was able to manage and coordinate a 4-person team into developing a more user-centered version of Expedia with multiple features for the user to use, such as writing blog posts about various destinations, finding the nearest airport to a given city utilizing the OpenWeatherMap API, and finding routes connecting various airports using a KNN (K-nearest neighbors) model. | Link | Github Link | Video |
| Exploring Materials Project Data and Predicting Material Properties | We explored materials science data from the Materials Project database to predict material properties using linear regression. We meticulously cleaned and classified the data, calculated composition-averaged properties, and achieved accurate predictions of formation energy per atom with low error margins. | Link | N/A | N/A |