Hema Kalyan Murapaka

AI-Project-Gallery. 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.

DocGenius-Revolutionizing-PDFs-with-AI. 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.

OpenHealth. This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.

End-to-End-Airbnb-Price-Prediction. 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.

Application-Tracking-System. 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.

KalyanM45. An Enthusiastic undergraduate with a passion for Data Science and Machine learning. With over a year of hands-on experience in the field, I'm constantly exploring the exciting world of AI and innovation. I've built a solid foundation in machine learning and Python.

Spam-Email-Detection. This repository contains a Python script that uses various machine learning models to classify spam messages from ham messages. The model is trained on a Popular dataset of Spam emails and we use multiple machine learning models for classification.

Student-Perfomance-Prediction. The primary objective of this project is to develop a predictive model that can forecast the performance of students in their academic projects. The model aims to help educators and institutions identify students who may need additional support or intervention early in the project development process, ultimately enhancing overall student success.

Hand-Tracking-Using-Opencv. his Python script utilizes OpenCV and MediaPipe to perform real-time hand tracking using a webcam. The code captures video input from the default camera, processes the frames to detect and track hand landmarks using the MediaPipe Hands module, and subsequently visualizes the landmarks on the live feed.

Article-Web-Scraping. 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.

Medicine-Recognition-System. This Flask web application utilizes Google's Generative AI models to generate detailed medical descriptions for uploaded images. The project, which focuses on medical content generation, incorporates two key models: the Pro-Vision model for in-depth medical descriptions and the Pro model for additional content generation.

Complete-Data-Science-Materials. 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.

Medical-Assisstant. The Medical Query Generator is a web application that leverages Google's GenerativeAI to generate detailed and accurate medical responses. Users input medical queries, and the application provides responses adhering to specific guidelines for clarity, accuracy, and informativeness.

Medical-Chatbot-using-Llama-2. The project uses natural language processing and information retrieval to create an interactive system for user queries on a collection of PDFs. It involves loading, segmenting, and embedding PDFs with a Hugging Face model, utilizing Pinecone for efficient similarity searches

Heart-Disease-Prediction. Explore a modular, end-to-end solution for heart disease prediction in this repository. From problem definition to model evaluation, dive into detailed exploratory data analysis. Experience seamless integration with MLOps tools like DVC, MLflow, and Docker for enhanced workflow and reproducibility.

End-to-End-Movie-Recommendation-System. 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

End-to-End-Image-Scraping. 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.

End-to-End-Chest-Disease-Classification. 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.

Artificial-Intelligence-Notebook-Experiments. 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

Virat-Kohli-Score-Analytics. This project leverages Power BI to create a dynamic and visually appealing analytics dashboard focused on the cricket performances of the legendary Virat Kohli. Gain insights into his batting trends, run-scoring patterns, and statistical analysis over time.

E-Commerce-Data-Analysis. 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.

Chatbot-Using-Langchain. 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.

E-Mail-Sender. 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:

Opti-Resume. This repository contains a Streamlit app for AI-powered ATS Resume optimization. It allows users to upload PDF resumes, optimize them using OpenAI's GPT-4, and download the enhanced version, along with features for skill analysis and bullet-point optimization.

Youtube-Video-Downloader. This is a lightweight web application developed using the Flask web framework and the Pytube library, designed to facilitate the easy and quick downloading of YouTube videos. The application provides a user-friendly interface where users can simply paste the URL of the YouTube video they wish to download, and the application takes care of the rest.

Checking-Password-Strength-using-Machine-Learning. Jupyter Notebook

Indian-Restaurants-Data-Analysis. This repository contains a Power BI data analysis project on Indian restaurants, enabling you to delve into restaurant data, customer preferences, and regional trends.

Python-Stock-Watchlist. This repository contains a stock watchlist application that allows users to track real-time stock data, including price, volume, and daily changes. It integrates with Yahoo Finance for live updates and displays stock information in a user-friendly format. The app is built using Python, Flask, and Yahoo Finance API.

Flight-Fare-Prediction. This project aims to provide users with a tool to predict flight fares based on various parameters, allowing them to make informed decisions when booking air travel. The app utilizes machine learning algorithms trained on historical flight data to estimate future fares.

Diamond-Price-Prediction. Diamond Price Prediction with MLOps: A comprehensive end-to-end project for predicting diamond prices using machine learning and MLOps techniques.

Getting-Started-with-Gemini. This repository contains code for a Streamlit web application that leverages Google's Generative AI model (Gemini Pro) to answer questions based on user input.

Rock-and-Mine-Detection. This GitHub repository contains a Machine Learning model for predicting whether an object is a rock or a mine. Leveraging a dataset of object characteristics, this project offers accurate classification capabilities.

YouTube-Content-Scraper. The provided Python code is a web application built using the Flask framework, designed to scrape data from YouTube based on a specified company name. This application aims to automate the process of collecting information about videos associated with a particular company on YouTube and present the data to users in a downloadable CSV file.

House-Price-Prediction. To develop a machine learning model that accurately predicts housing prices using the Boston Housing dataset by analyzing various house features, and it utilizes a CatBoost model to assist potential buyers or sellers in estimating housing prices.

Python-Plagiarism-Checker. This Python script performs plagiarism detection on a set of text documents using the Term Frequency-Inverse Document Frequency (TF-IDF) approach. It calculates the cosine similarity between pairs of documents to identify potential cases of plagiarism.

Conversational-Chatbot-using-Langchain. 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.

Wine-Quality-Prediction. Jupyter Notebook

Diabetes-Prediction-using-Machine-Learning. Jupyter Notebook

Imagining-the-Text-with-DALL-E. The Text-to-Image Generator is a tool that allows users to generate images from text descriptions using the OpenAI API. The purpose of this project is to make it easier for people to create images without having to be skilled in graphic design or photography. This project was built using Python, Streamlit, PIL, and urllib.

Medium-Account-Analysis. This repository provides an in-depth analysis of a Medium account by scraping data using the requests library. It includes a dashboard for visualizing key insights, enabling better understanding and optimization of Medium performance. The project helps track engagement metrics, article performance, and audience trends effectively.

Text-Summarization-using-NLP.

Book-Recommendation-System-Using-Collaborative-Filtering. 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

Optical-Character-Recognition. This project is a Python-based Optical Character Recognition (OCR) application using the EasyOCR library. It provides a convenient way to detect and recognize text in images, making it useful for a wide range of applications such as document processing, image captioning, and text extraction.

Kidney-Disease-Classification.

Power-BI-Reports-and-Dashboards-Practice. Daily practice Power BI reports and dashboards for skill enhancement and learning. Check out my ongoing progress here

Medium-Machine-Learning. This repository contains Python notebooks Which is used to explain concepts and examples discussed in my Medium blogs.

Data-Version-Control-Demo. 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.

Script-Correction-using-Gingerit. The "Script Correction" project is a simple application built using the Streamlit framework and the Gingerit library. The purpose of this project is to provide a user-friendly interface for refining scripts by correcting grammar errors.

Automated-ML-Modelling. 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.

Python-Dictionary. This Flask application provides users with a seamless experience for exploring the meanings of words through the integration of the PyDictionary library. Built on the Flask web framework, the application offers an intuitive interface where users can effortlessly input a word of interest.

Command-Line-Chatting-App. 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.

Password-Generator. This Python code constitutes a Flask web application designed to generate random passwords based on user input. Leveraging the Flask framework, the application establishes a basic web interface where users can visit the homepage, input their desired password length through a form, and subsequently trigger the generation of a password.

QR-Code-Generator. This is a simple QR Code Generator built using Python with the Streamlit library. It allows users to input a URL and customize the QR code colors using predefined color pairs. The generated QR code can be easily downloaded.

Docker-Demo. 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.

Image-Generation-using-HuggingFace-Diffusion-Models. Jupyter Notebook

End-to-End-US-Visa-Approval-Prediction. 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.

Python-ASCII-Encryption. This Python script demonstrates a simple ASCII-based encryption algorithm. It converts alphabetic characters to their ASCII numerical values, applies a secret number for encryption, and allows decryption using the same secret number.

Interest-Payment-Calculator. This Flask application allows you to calculate the monthly payment for a loan based on the principal amount, annual percentage rate (APR), and loan term in years. Below is a brief overview of the project:

Mouse-Auto-Clicker. The auto-clicker can be toggled on and off using a specified key (TOGGLE_KEY). Leveraging the pynput library, the script runs a continuous background thread that simulates a left mouse button click when the clicking flag is set to True.

DeOldify-Your-Memories. 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.