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Hi there šŸ‘‹

  • šŸ‘Æ I am Arpita Satsangi
  • šŸ“– I'm currently pursuing a degree in Electrical Engineering with a specialization in Computer Science
  • šŸŒ± Iā€™m currently learning machine learning
  • šŸ˜„ Pronouns: She/her
  • āœØ Connect with me on: www.linkedin.com/in/arpita-satsangi-abs37161015
  • āš” Hobbies: dancing, singing, reading, writing, walking

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Arpita Satsangi's Projects

brain-stroke-prediction icon brain-stroke-prediction

The dataset used in the development of the method was the open-access Stroke Prediction dataset. It is used to predict whether a patient is likely to get stroke based on the input parameters like age, various diseases, bmi, average glucose level and smoking status. K-nearest neighbor and random forest algorithm are used in the dataset.

covid-data-exploration-sql icon covid-data-exploration-sql

This project involved querying and ordering COVID-19 data at a global and regional level, focusing on cases, deaths, and percentages. Additionally, I integrated COVID-19 cases data with vaccination records, calculating total vaccinations, population percentages, and creating temporary tables and views for visualization.

iitd-object-detection icon iitd-object-detection

Problem Statement- To perform object detection using machine learning (viola jones) and deep learning(faster R-CNN) on PASCAL VOC 2007.

library-management-system icon library-management-system

This C++ project implements a console-based library management system using Object-Oriented Programming, featuring encapsulation, inheritance, polymorphism, and abstraction to handle general and genre-specific book details.

python-calculator icon python-calculator

Designed and developed a graphical calculator application using Python and tkinter, enabling users to perform arithmetic operations and evaluate mathematical expressions. It has user-friendly features such as responsive button clicks, a clear input field option, and robust error handling for invalid expressions.

sms-spam-detection-nlp icon sms-spam-detection-nlp

Implemented a spam detection project using Python, employing data cleaning, exploratory data analysis, and text preprocessing techniques. Trained and evaluated Naive Bayes models, achieving a notable 97% accuracy and 97.35% precision with the Bernoulli Naive Bayes classifier.

supermarket-billing-system icon supermarket-billing-system

It is built to assist supermarkets in calculating and displaying bills, as well as serving customers more quickly and efficiently. This software solution includes an effective and simple user interface to assist employees in bill calculating and customer service.

tic-tac-toe-game icon tic-tac-toe-game

Build a Python program for the classic Tic-Tac-Toe game. This project involves functions for board display, player input, marker placement, win checking, random player selection, and game continuation. The game runs in a loop, enabling players to enjoy multiple rounds and decide if they want to play again.

time-series-forecasting-for-energy-consumption icon time-series-forecasting-for-energy-consumption

A Time Series Approach for Predicting Hourly Consumption Using XGBoost. This project explores patterns in energy consumption through feature-rich time series forecasting, providing accurate predictions and insights.

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