Theofilus Arifin's Projects
Conducted univariate and multivariate analyses on a dataset of 62,989 rows and 23 columns. Segmented using the RFM method and K-means clustering, revealing two groups via elbow method determination.
Explore Aksara Jawa effortlessly with YOLOv8 and Finite State Automata-powered Transliteration that i developed. Achieving high metrics (Train: 0.967/0.922/0.961, Validation: 0.966/0.924/0.961), our Streamlit interface ensures easy input and accurate output. Unlock precision and simplicity in Aksara Jawa to Latin conversion.
In any company, measuring business performance is crucial for tracking, monitoring, and evaluating the success or failure of various business processes. Therefore, this project aims to analyze the business performance of an eCommerce company, considering several business metrics: customer growth, product quality, and payment types.
AnythingLLM is the easiest to use, all-in-one AI application that can do RAG, AI Agents, and much more with no code or infrastructure headaches.
This is my data mining project to calculate distances using proximity matrix and to find the best split from a given dataset.
Diabetes, characterized by high blood sugar levels due to ineffective insulin production or usage, poses serious health risks if not managed. Deep Learning offers promising avenues for diabetes management.
Dify is an open-source LLM app development platform. Orchestrate LLM apps from agents to complex AI workflows, with an RAG engine. More production-ready than LangChain.
"Daily Meme Digest" is a provider of daily intake of meme stock. Users can view memes created by other users and interact by giving likes and comments. This application can also create new memes with the templates provided.
Even with all the success we've seen in machine learning, especially with deep learning and its applications in business, data scientists still lack best practices for organizing their projects and collaborating effectively.
This project involves comprehensive e-commerce data analysis using SQLite and Elasticsearch. It starts by importing the Kaggle E-commerce dataset into SQLite for initial exploration and basic data cleaning. Then, Elasticsearch is employed for indexing and querying, enabling further analysis.
EmoTweetAI is a sentiment analysis system designed to classify emotions in Twitter uploads. It categorizes tweets into positive, negative, or neutral sentiments, providing valuable insights into public opinion on various matters.
In today's competitive market, understanding what makes a product exclusive can provide valuable insights for businesses. This project aims to develop a classification model to categorize products as exclusive or non-exclusive based on various attributes.
EZ Booking is a Java Program for restaurants and customers to do a transaction (Buy and Sell food). This program is fully integrated with chat and video calls to provide the best communication platform between users.
This project aims to predict valuable players in FIFA21 using machine learning techniques. In the world of professional soccer, identifying valuable players is crucial for clubs in building successful teams and making strategic decisions in player recruitment and management.
This is the first-ever program that I made on GitHub. I made this program for OOP's student challenge at my university. Luckily I won that challenge and I'm very happy :)