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👋 Hi there, I'm Arjun

👩‍💻 About Me

I work as software engineer JMAN Group.

  • 🔭 Passionate about coding and application development.
  • 🌱 Exploring backend development, data science, and machine learning.
  • ⚡ In my free time, I enjoy solving problems and learning new technologies.

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Arjun P's Projects

arjun-portfolio icon arjun-portfolio

Personal portfolio created using streamlit. Blogs and Projects will dynamically change as i update it on my medium and github respectively.

automation icon automation

A small code to send me daily emails about stock price movements using python and github actions

cricketsemantics icon cricketsemantics

This project is an semantic search engine built using sentence transformers for embedding on recent cricket data.

custom_face_recognition icon 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

deep-learning-with-tensorflow icon 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

fake-heart-sensor-data-using-python-and-kafka icon 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 icon 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

interactive-data-visualization-application icon 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.

notion_db_integration icon 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

p2p-python-flask icon 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.

poem-classification-nlp icon 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.

quotez icon quotez

Quotez is a small website that shows the quotes from the books I read recently. Built with the help of flask

react-django-chatapp icon 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

shakes_ai icon 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

steam_game_rating_prediction_tensorflow icon 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

story_teller icon 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 icon 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,

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