Hema Kalyan Murapaka's Projects
This Repository Contain All the Artificial Intelligence Projects such as Machine Learning, Deep Learning and Generative AI that I have done while understanding Advanced Techniques & Concepts.
The Smart Applicant Tracking System (ATS) is a cutting-edge tool designed to enhance the resume evaluation process. Leveraging advanced Generative AI models from Google, the system empowers users to submit their resumes for a comprehensive analysis based on a provided job description.
This Python script is designed to scrape articles from The Guardian's technology section using their API. It fetches article data, extracts the titles and content, and then saves each article's content to separate text files. The text files are organized in a folder named with the current date and time of the scraping.
The repository encompasses a collection of my Artificial Intelligence project Notebook files, ranging from Machine Learning to Deep Learning and Generative AI. These projects reflect my exploration and comprehension of advanced techniques and concepts within the field
This is the Streamlit web application that allows users to upload a dataset, generate an automated exploratory data analysis (EDA) report using the pandas-profiling library, and and train a machine learning model for regression or classification tasks.
This is a basic web calculator built using Flask, a Python web framework. The application allows users to perform simple arithmetic operations such as addition, subtraction, multiplication, and division.
This repository contains the source code of book recommendation system using collaborative filtering. The system recommends the books based on the similarities between user profiles
This Streamlit app, "LangChain ChatBot," invites users to input queries, utilizing the LangChain library and OpenAI's text-davinci-003 model to generate responses with controlled randomness. In just a click, users can explore the intriguing world of conversation through this compact and user-friendly interface.
This repository contains a simple Python implementation showcasing socket communication between a server and a client using threading. The code is organized into two classes, ServerNode and ClientNode, demonstrating a basic messaging system.
This is Krish Naik Sir's GitHub repository, which I forked. It contains comprehensive resources and materials for data science, including his YouTube video tutorials and open-source contributions.
This project brings together the seamless interactivity of Streamlit and the advanced language capabilities of OpenAI's GPT-3 to create a user-friendly and intelligent chatbot. Users can ask questions, seek assistance, or simply engage in a friendly conversation, and the chatbot responds with contextually relevant and human-like answers.
This repository houses a comprehensive README template tailored for projects encompassing artificial intelligence, machine learning, and data science. The template offers guidelines, structure, and best practices for effectively documenting and presenting your projects in these domains.
The provided demo project demonstrates the practical implementation and advantages of using DVC. It showcases how DVC simplifies data versioning and model versioning while working in tandem with Git to create a cohesive version control system tailored for data science projects.
DeOldify is a Python library that leverages deep learning and transfer learning to colorize vintage black and white photos with stunning accuracy and detail. Simply provide the image URL or local file path, and watch as your old memories come to life in full color.
Diamond Price Prediction with MLOps: A comprehensive end-to-end project for predicting diamond prices using machine learning and MLOps techniques.
This is a Python application that allows you to load a PDF and ask questions about it using natural language. The application uses a LLM to generate a response about your PDF. The LLM will not answer questions unrelated to the document.
This repository showcases a straightforward Python web application developed using the Flask framework and Docker containerization. By containerizing the application with Docker, we ensure smooth deployment and consistent development experiences across various environments.
Repository for preparation of Data Structures and Algorithms.
This project harnesses the capabilities of Power BI to craft a dynamic and visually compelling analytics dashboard, centered around unraveling the intricacies of ecommerce dynamics. Delve into key insights regarding sales performance, customer behavior, and inventory management to steer your online business strategy with precision.
This Flask application allows you to send emails through a simple web interface. It uses the Flask web framework, and emails are sent via Gmail SMTP. Below is a brief overview of the project:
The purpose of this project is to predict the price of Airbnb rentals based on various features of the properties listed on the platform. The code in this repository is written in Python and uses several machine learning algorithms to train and test a predictive model.
This repository offers a comprehensive solution for chest disease detection, covering data ingestion, preprocessing, model training, and CI/CD deployment pipelines. From raw data to automated deployment, streamline your chest disease detection process with our end-to-end solution.
Image Scraper Web App is a simple Flask-based web application that enables users to search for images on Google and download them. The app scrapes the search results page for images and saves the downloaded images to a specified directory. It provides a user-friendly interface to input search queries and view the downloaded images.
This repository contains a robust and user-friendly movie recommendation system built to enhance your movie-watching experience. Whether you're a film enthusiast or just looking for something new to watch, our system has you covered topics
This repository provides comprehensive code for detecting safety peripherals such as helmets, gloves, and spectacles. It includes everything from data ingestion to deployment, along with CI/CD processes, ensuring seamless implementation and integration.
This repository holds all you need to build an end-to-end US visa prediction model. It includes code, data (check availability), and resources to train a machine learning model that predicts visa approval chances. Get started by installing dependencies, following the setup steps, and running the main script.
This repository offers essential code and resources for end-to-end AI and data science projects. It includes template codes for database connection, data retrieval, and logging, covering all stages from data ingestion to model monitoring and maintenance.