I am focused on Android development using Kotlin, where I specialize in integrating AI capabilities into mobile platforms. By harnessing the power of AI and technologies like Computer Vision, I am able to optimize the use of advanced machine learning on mobile devices with minimal resource and power requirements. This work allows me to push the boundaries of what can be achieved on portable devices, bringing powerful AI-driven capabilities directly into the hands of users while ensuring… Show more I am focused on Android development using Kotlin, where I specialize in integrating AI capabilities into mobile platforms. By harnessing the power of AI and technologies like Computer Vision, I am able to optimize the use of advanced machine learning on mobile devices with minimal resource and power requirements. This work allows me to push the boundaries of what can be achieved on portable devices, bringing powerful AI-driven capabilities directly into the hands of users while ensuring efficiency and scalability across diverse use cases. Show less

During my internship in Data Science, I gained hands-on experience working with machine learning, AutoML, data analysis, and visualization tools. Over the course of the internship, I had the opportunity to work on five diverse projects that allowed me to apply my skills and expand my knowledge in various domains.Flower Classification – I developed a machine learning model to classify different types of flowers based on their features. This project involved data preprocessing, feature… Show more During my internship in Data Science, I gained hands-on experience working with machine learning, AutoML, data analysis, and visualization tools. Over the course of the internship, I had the opportunity to work on five diverse projects that allowed me to apply my skills and expand my knowledge in various domains.Flower Classification – I developed a machine learning model to classify different types of flowers based on their features. This project involved data preprocessing, feature selection, and building classification models to achieve high accuracy.Unemployment Analysis – For this project, I conducted in-depth data analysis to explore unemployment trends across regions and time periods. I used visualization techniques to identify key patterns and draw insights to support data-driven decisions.Car Price Prediction – This project involved building regression models to predict the price of cars based on multiple factors such as age, mileage, brand, and other features. I used both traditional machine learning algorithms and AutoML to optimize model performance.Email & SMS Spam Detection – In this project, I worked on a classification model to detect spam in email and SMS datasets. I implemented techniques such as natural language processing (NLP) for text preprocessing and model building to efficiently differentiate between spam and non-spam messages.Sales Prediction – I built predictive models to forecast sales based on historical data. The project required me to use time series analysis and machine learning techniques to accurately predict future sales trends.Throughout the internship, I extensively used machine learning algorithms, AutoML tools, and various data visualization techniques to extract meaningful insights from datasets and present findings in a clear and actionable manner. Show less