Lokesh Gupta
Most of my education has come from online platforms like udemy,campusX etc. I express gratitude to online educators who have afforded me the chance to acquire these skills and for making education accessible to all.
This project is a smart multilingual translator built using LangChain, Groq API, and Streamlit. It allows users to translate text between multiple languages with high accuracy and natural tone. The system can handle both formal and informal tones, making it useful for professional and casual conversations.
Celebrity Insight Hub is an AI-powered application that provides comprehensive details about celebrities. Users can search for any celebrity to access their biography, career achievements, awards. With an intuitive interface, this application serves as a one-stop destination for celebrity enthusiasts, researchers, and fans.
"Cleaning and EDA On Movie Review Dataset For NLP"
In this project, we delve into a movie review dataset, preparing it for natural language processing (NLP) tasks. Through data cleaning and exploratory data analysis (EDA), we aim to understand the characteristics of the reviews and extract insights crucial for NLP model development.
In this project, we delve into a dataset containing smartphone information. We clean the data, removing errors and inconsistencies, and then visualize the data to gain insights. Our goal is to understand trends and patterns in smartphone features and usage.
In this project, I utilized the Selenium framework to develop a web scraping script tailored for the OYO website. The primary objective was to automate the extraction of valuable data, such as hotel names and prices, from the site.
In this project, I embarked on a web scraping endeavor employing the Selenium framework to gather details about smartphones available on the Flipkart. The primary aim was to automate the extraction of information such as smartphone names, prices, specifications, and customer reviews.
This project provides a hands-on experience in working with real-world data, applying SQL skills, leveraging Python for data analysis and visualization, and creating a user-friendly interface for interactive exploration.
Using SQL, this project focuses on cleaning untidy laptop data, addressing missing values and inconsistencies. Following cleaning, we perform Exploratory Data Analysis (EDA) to uncover patterns and insights, enhancing our understanding of the dataset.