Hema Kalyan Murapaka's repositories
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.
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.
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
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.
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.
Diamond-Price-Prediction
Diamond Price Prediction with MLOps: A comprehensive end-to-end project for predicting diamond prices using machine learning and MLOps techniques.
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.
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.
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
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.
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.
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
Data-Science-Project-Readme-Template
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.
DSA-Preparation
Repository for preparation of Data Structures and Algorithms.
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-Safety-Peripherals-Detection
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.
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.
Essentials-for-End-to-End
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.
Gemini-ChatBot
The Google Gemini-Pro Chat Application is a Streamlit-based web interface that facilitates interactive conversations with Google's GenerativeAI. Users can ask questions or engage in dialogue, receiving responses generated by the powerful Gemini-Pro model.
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.
KalyanM45.github.io
This repository contains the source code of my personal portfolio, showcasing my skills, projects, and experiences as a Data Scientist
Question-Answering-System-using-RAG
This repository contains a Streamlit-based Document Question Answering System implementing the Retrieve-and-Generate (RAG) architecture, utilizing Streamlit for the UI, LangChain for text processing, and Google Generative AI for embeddings.