Manvi Vrati's repositories
Breast-Cancer-Detection
Breast Cancer Detection. This is a project based on Machine Learning. It is Full stack, created using Django [Python]. Used for detecting Breast Cancer from parametric data imported from sklearn.
Customer-Analysis
This is a Tableau project for data analytics where I have created a dashboard that compiles various sheets that are insights of customer json data. The dashboard is dynamic and varied. It can be extracted as a pdf.
Admission-Cell
Admission Cell. Project made completely in C language. Very basic. Just created to simplify the registration process in Mody University. Applicants can enter the data by themselves and system generates the section and enrollments to diminish the need of middle-men.
CFG-JPM-Hackathon
This is the submission of a project of the Team 83- Diversity Digitized in Code for Good Hackathon conducted by JPMorgan where we needed to create a full stack according to the needs of NGO jhatkaa.org in just 24 hours.
Frontend-GCCI
Yet Under development. A full stack project for a company GCCI where only the frontend is complete. As the project has stopped, the backend has not been implemented. Worked here using Django.
Image-to-Caricature
Image into Caricature. This is a Machine Learning based project for converting Images [landscape] into their caricatures. It creates realistic cartoonified images which can be used in webtoons, etc.
manvivrati
My personal repository!
Netflix-Analysis
Netflix Analysis. This is a Data Analysis project. I have imported Kaggle dataset on Netflix watch history, and using basic visualization libraries in Python, I have created the insights that will help us understand the data better and recognize the pattern of interest.
Snake-Game
Snake Game. This is a basic 2-D game designed using Java which works similar to the games we used to play on Nokia phones in the year 2000 or so. Objective was to learn working with Java!
Tinder-clone
Project yet under development. Created using MERN. Full stack project to make a tinder clone. Learning from Papa MERN.