- This project works on players' physiological responses during League of Legends matches, specifically focusing on how intense gaming moments, such as kills, influence players' stress levels. By measuring Galvanic Skin Response (GSR) and heart rate variations, we found patterns that indicated heightened emotional or cognitive stress during gameplay.
GitHub
- This Data Analysis project aims to show the performance comparison between Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data) and Pandas by analyzing the open-source Global Food Price dataset with more than 700K rows.
- The work done falls under the domain of High-Performance Parallel Computing which is estimated to improve the limit of existing Pandas library by four hundred percent.
GitHub
- The project aimed to build an application for the analysis of the quality of food and to detect repeated frying on cooking oils based on the visual properties of the food items and the pH value of the oils.
- The analysis of the nutritional value of food items was done using a Python-based framework known as Streamlit and the oil quality was analyzed via a portable pH sensor and ESP32 Microcontroller.
- The outcome of the project helped youngsters and inexperienced vegetable buyers determine the food and oil quality.
GitHub
- Analyzed Google Play Store application data to identify patterns in downloads, usage, ratings, and device compatibility.
- Applied sentiment analysis to user reviews to examine their relationship with application popularity and download trends.