J P DANIEL CHRISTOPHER's Projects
ATM simulator built using C with backend built using simple file systems
Stroke is a disease that affects the arteries leading to and within the brain. A stroke occurs when a blood vessel that carries oxygen and nutrients to the brain is either blocked by a clot or ruptures. According to the WHO, stroke is the 2nd leading cause of death worldwide. Globally, 3% of the population are affected by subarachnoid hemorrhage, 10% with intracerebral hemorrhage, and the majority of 87% with ischemic stroke. 80% of the time these strokes can be prevented, so putting in place proper education on the signs of stroke is very important. The existing research is limited in predicting risk factors pertained to various types of strokes. Early detection of stroke is a crucial step for efficient treatment and ML can be of great value in this process. To be able to do that, Machine Learning (ML) is an ultimate technology which can help health professionals make clinical decisions and predictions. During the past few decades, several studies were conducted on the improvement of stroke diagnosis using ML in terms of accuracy and speed. The existing research is limited in predicting whether a stroke will occur or not. Machine Learning techniques including Random Forest, KNN , XGBoost , Catboost and Naive Bayes have been used for prediction.Our work also determines the importance of the characteristics available and determined by the dataset.Our contribution can help predict early signs and prevention of this deadly disease
This is a microservices-based calculator application that allows users to perform various arithmetic operations. The application is built using Flask and Flask-RESTful and consists of multiple services that are orchestrated using Docker Compose. The frontend of the application is built using HTML and JavaScript.
Crime Awareness Portal is a web application developed using the MERN (MongoDB, Express.js, React.js, Node.js) stack. The portal allows users to report crimes by providing information such as location, time,and type of crime.The reported crimes can be verified by officers using their dedicated accounts.The portal also includes crime awareness videos
We propose an Intelligent Crop Recommendation and Yield prediction system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. The Yield is predicted based on the parameters of area of land available, agricultural season and the past observations of yield .
We classify whether the data in the dataset is churn or not
The Food Ordering System is a web application developed using MySQL and PHP. It provides a platform for users to login, register, and add dishes to a cart with the desired quantity. The system also incorporates an online payment gateway to enhance user convenience. Admin users have additional privileges to verify orders, dispatch food.
Hospital Management System is a web application developed using PHP and MySQL. It provides functionalities for managing hospital operations, including patient appointments, doctor approvals, prescription and treatment management, billing, and more. The system is designed to be user-friendly and efficient in managing hospital processes.
The Hybrid Movie Recommender is a system that recommends movies using a combination of collaborative and content-based filtering techniques. The system is designed to address the cold start problem(new users) by using a popularity based approach. The dataset used for the system is obtained from Kaggle.
The aim is to Analyse and predict the possible interactions between the various subreddits present and predict the type of interaction and detect the implicit communities between subreddits This will be through various Network analysis and statistical inferences and predictive model
The IoT Weather Station with NodeMCU ESP8266 is a project that demonstrates how to create a simple online weather station using the NodeMCU ESP8266 (Wemos D1) Wi-Fi development board. This project pulls weather data such as temperature, humidity, rain, and vibration and displays it on a local website connected to the NodeMCU.
The MyMath module is a Python module that contains user-defined functions for calculating the area, volume, and perimeter of various 2D and 3D shapes. This module provides a convenient way to perform common mathematical calculations related to shapes.
Research_on_Gaussian_Blurring
Research_on_Threaded_PORT-Scanner
Security Service agency portal allows users to book security personnel for various kinds of functions and events.
This repository contains code for predicting stock prices using various machine learning models. The models implemented include Linear Regression, SVM Regression, KNN Regression, Kernel Ridge Regression, and Ridge Regression.
This project implements a TCP server and client in C, using the TCP/IP protocol. The server and client communicate over a network connection and perform string processing operations based on the client's request.
We implemented a lightweight MapReduce framework using C++. It's a cross-platform framework which has been validated on Windows(cygwin), Linux(Redhat, Ubuntu) and Mac OS. The framework itself is based on a distributed file system (like AFS) for temporary file sharing, but sshfs may work as well but not yet tested.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent