Arjun P's repositories
Fake-Heart-Sensor-Data-Using-Python-and-Kafka
Fake-Heart-Sensor-Data-Using-Python-and-Kafka is a GitHub project that provides a simple and easy-to-use way to generate simulated heart sensor data using Python and Kafka. This project is ideal for developers who want to test their applications with realistic heart sensor data or simulate a data stream for research purposes.
finance_with_arjun
This Streamlit project is designed to provide users with financial information and stock market news for Indian companies. It consists of three main components: a dashboard for exploring stock prices and historical trends and a section for displaying top stock headlines
notion_db_integration
notion_db_integration is a pypi package that helps the user to use notion database to store, retreive, update and delete data like a normal database. It basically turns your notion_db into a db that is hosted on cloud and used for storage purposes
automation
A small code to send me daily emails about stock price movements using python and github actions
custom_face_recognition
Face Recognition using SVM and RF is a simple image classification model for celebrity images. The model has been trained on 3 celebrities with 100 images each, achieving 71% accuracy with SVM and 68% accuracy with RandomForest algorithms
P2P-Python-Flask
This Peer-to-Peer (P2P) Chat Application allows users to connect with peers and engage in real-time text-based conversations. It provides a user-friendly interface for chatting.
React-Django-chatapp
ChatApp: A secure and real-time chat application developed using Django and React. Robust Authentication: Implemented token-based authentication for secure user interactions. Real-time Communication: Users can enjoy instant messaging with real-time updates on new messages. User-friendly Interface: Intuitive design and smooth user experience
Arjun-Portfolio
Personal portfolio created using streamlit. Blogs and Projects will dynamically change as i update it on my medium and github respectively.
CricketSemantics
This project is an semantic search engine built using sentence transformers for embedding on recent cricket data.
Deep-Learning-With-Tensorflow
This file contains code for performing deep learning tasks using TensorFlow neural networks. It provides a comprehensive guide to data augmentation, perceptrons, classification using neural networks, and the MNIST handwriting classification task
Django_application
a simple login systems using django
interactive-data-visualization-application
The Interactive Data Visualization Application is a web-based tool developed to facilitate the exploration and analysis of a dataset through interactive charts and visualizations. The application is built using React for the frontend, Flask for the backend API, and D3.js for rendering the visualizations.
poem-classification-nlp
In this project, we use the K-means algorithm to cluster poems based on their TF-IDF representations. The code provided here encompasses various stages of the project, from data preprocessing to clustering analysis.
portfolio-nextjs
This is my portfolio website built using next-js and JavaScript
shakes_ai
Shakes AI is a small language model developed by me, trained on around 1 million lines of text data containing Shakespearean literature. This model has the capability to generate Shakespearean sonnets, that match the rhyme and meter patterns of the original works, while also providing a unique and creative touch to the generated poems
startup_profit_prediction
Predict profit of your startup based on your spendings. Uses a regression model to map spending to profit.
steam_game_rating_prediction_tensorflow
Performed EDA on the steam game dataset using Knime and created a regression and classification model using TensorFlow Predicted the rating( overwhelmingly negative to overwhelmingly positive [1 - 9] ) given by users to the game based on features such as cross compatibility of game with multiple OS, release date and so on
stock-analysis
a python package (pypi) for stock analysis
Story_Teller
Story Teller is a Streamlit application that generates a story based on an input image. It utilizes the Hugging Face Transformers library and the Salesforce BLIP Image Captioning model.
voicy_website
VOICY is an web app that can convert .txt files into nearly human like voice and provide the .mp3 file generated(that has the dictated version of text file) to user as an downloadable file. This can be used to convert text files that has lecture notes into voiceover, for easy understanding and to gain attention of students,