Dedicated professional with a strong academic background in AI and data science. adept at fusing theoretical understanding with real-world application, strengthened by an analytical and creative attitude.
Below are some projects I have created, showcasing my work in various technologies.
Performed exploratory data analysis on diwali sales data using Python to improve the customer experience.
A Chrome extension that suggests and automatically renames tabs based on content analysis, while also allowing for manual renaming, enhancing browsing efficiency and organization.
A Python project leveraging speech recognition, pyautogui, pywhatkit, and the OpenAI API to provide voice-controlled assistance for tasks such as answering questions, providing weather updates, managing schedules, and controlling smart devices.
This project focuses on classifying images of dogs and cats using a deep learning model built with TensorFlow.
This project focuses on classifying fruits and vegetables using a deep learning model built with TensorFlow. The model uses NumPy for data handling, Pandas for manipulation, and Matplotlib for visualization. TensorFlow's Keras API is employed to create and train the neural network for accurate image classification.
This underwater object detection system uses YOLOv8 to quickly and accurately identify objects in underwater images. It's trained on aquatic data to recognize marine objects, making it ideal for researchers and marine monitoring applications, ensuring efficient and precise underwater analysis.