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Name: Michael Eco
Type: User
Company: Ciputra University
Location: Indonesia
Name: Michael Eco
Type: User
Company: Ciputra University
Location: Indonesia
This project aims to perform sentiment analysis on airline reviews using a Transformer-based model and deploying it with Pinecone, a scalable vector database for building real-time applications. Sentiment analysis is a natural language processing task where the sentiment expressed in a piece of text, such as a review, is determined.
The project aims to study the concept and development of health insurance as a financial system that provides social protection against health risks
This project used for Artificial Guardian Angel Hackathon. Leveraging GPT and Prompt Engineering to develop Empathetical Model Generation
Book recommender project using content based filtering for dicoding "Machine Learning Terapan" submission. The dataset was taken from kaggle website.
This project associated with my university for milestone project. A book recommender system using k-means clustering with content based approach from goodreads book dataset.
The project applies various techniques such as decomposition, autocorrelation, forecasting and anomaly detection to understand the patterns and trends in the temperature data
This project aims to build a fashion similarity model using TensorFlow MNIST Datasets and Siamese Network with custom model and contrastive loss. The model can compare two images of clothing items and determine how similar they are.
Predictive analytics project about time series forecasting for dicoding "Machine Learning Terapan" submission. The dataset was taken from yahoo finance website.
This project leverages Google Gemini Pro, Retrieval-Augmented Generation (RAG), and Streamlit to create an advanced AI-powered data analysis tool. Designed to assist data analysts, the application uses cutting-edge AI to provide insightful analyses, visualizations, and data-driven recommendations.
This project harnesses the power of DALL-E from HuggingFace and Stable Diffusion to create an advanced image generation tool. Built with Streamlit, it offers a user-friendly interface for generating high-quality images from textual descriptions. Ideal for creative tasks, this tool utilizes cutting-edge AI to transform textual prompts into vivid.
This submission was part of IDCamp scholarship in "Machine Learning" learning path.
This project used for Artificial Guardian Angel Hackathon. Leveraging GPT and Prompt Engineering to develop Empathetical Model Generation
This project is an advanced AI-powered tool designed to analyze medical images, leveraging the robust capabilities of Google Gemini for accurate image recognition and Streamlit for an intuitive user interface.
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