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) 🏹

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

VMess is a Real-time Chat Android Application

This is an end to end book recommendation system.

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.

2023 Architecture Design and Web Development Project

Diabetes Prediction using Machine Learning

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.

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

E2E Machine Learning Framework

EduScoreML is a machine learning project aimed at predicting student performance (math scores) based on factors such as gender, race/ethnicity, parental education, lunch type, and test preparation course. The project follows the complete ML lifecycle, including exploratory data analysis (EDA), data preprocessing, model training, and evaluation.

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.