CSC-365 fullstack app 2.0

Overview

• This project is the extention of the CSC-365-fullstack-app 1.0.

• Visit the newest extended version here at CSC-365-fullstack-app 3.0

• Version 1.0 is a full-stack web application that works like a search engine which will find the similar and relevant businesses (in a json dataset from Yelp) based on user's inputs using Cosine Similarity Metric.

• This new extended version will, on top of the features in version 1.0, allows users to fetch 5-10 clusters randomly from the Spring Boot server. It then feed the clusters to React+D3.js (Data-driven document) in the FE to form up a hierarchical tree

Project Showcase

My.Movie.-.HD.720p.mov

Technologies:

Backend -- Engine

• Java Springboot
• Customized B-Tree
• Java NIO/IO
• Clustering using K-Means
• Customized HashTable
• Cosine Similarity
• MySql Database / Docker image

Frontend -- client

• Vite/React--TypeScript
• D3.js (Data-driven document)
• Tailwindcss
• Material-UI

Resources

• Yelp Dataset
• Btree - Geeksforgeeks
• K-Means - Baeldung
• D3 - Data-driven Document