Content Based Recommendation system uses attributes of the content to recommend similar content. It doesn't have a cold-start problem because it works through attributes or tags of the content, such as actors, genres or directors, so that new movies can be recommended right away.

GoalList is an "Online Goal Achieving Community". This is the best place to make milestones, achieve goals, and get rewards from the people who are in your network (feature-rich repo) 🏹

VMess is a Real-time Chat Android Application

This is an end to end book recommendation system.

React site for people to train their End-To-End automation skills with sample data

This project creates a dynamic pricing system that uses real-time data and machine learning to adjust taxi fares in real-time, responding to shifting market conditions. Additionally, it offers users personalized ride booking recommendations to boost satisfaction. Continuous learning capabilities ensure the system adapts and improves over time.

Diabetes Prediction using Machine Learning

2023 Architecture Design and Web Development Project

This project involves end-to-end data analysis of a bike shop service, aimed at analyzing key performance metrics such as hourly revenue, profit and revenue trends, seasonal revenue, and rider demographics.

Built a complete data science project on 119,000+ real e-commerce orders — covering data cleaning, exploratory analysis, machine learning models for price prediction and review classification, customer segmentation, and an interactive Streamlit dashboard. Found that delivery delays are the single biggest driver of negative customer reviews

취업지원을 받고도 아직 취업하지 못한 청년에게 어떤 조건과 방향이 취업으로 이어지는지 데이터 기반 인사이트를 제공

[Project🗂] AI와 하는 끝말잇기! 인간은 AI를 이길 수 있을까?!

This is and end-to-end project using the AdventureWorksDW2019 database for my report. In this report I analyze important statistics based on the Internel Sales & Providing an overview of the current inventory status and making forecast.

This report contains a detailed review about customer's account and an overview of the current Churn rate.

E2E Machine Learning Framework

A FLASK-based web application that predicts the risk of diabetes based on the answers to a questionnaire. The app currently uses an XGBoost (Extreme Gradient Boosted Model) model trained on a Kaggle Dataset of CDC Data.