Hello Everyone 👋, I'm Kartika Deviani
Web Developer | Data Scientist | AI Engineer
"Keep reaching for your dreams, never give up just because of a few words from others. Let them be the motivation to strive for a better future."
Contact Me
"Keep reaching for your dreams, never give up just because of a few words from others. Let them be the motivation to strive for a better future."
Contact Me
As a student in Informatics Engineering, I'm committed and enthusiastic about advancing technology, continuously striving for innovation, and embracing new challenges. I have honed my skills in front-end development, data science, and machine learning. I have experience in creating attractive and responsive web interfaces and implementing machine learning models into web applications. Committed to delivering high-quality projects and meeting the demands of today's dynamic landscape, I consistently strive for excellence.
Hey there! Let's be friends and embark on this exciting journey together. Whether it's sharing laughter, supporting each other through challenges, or simply enjoying each other's company, let's create unforgettable memories and build meaningful connections. Feel free to reach out—I'd love to get to know you better and explore the world together!
Welcome to my latest project showcase! Here, I present to you a culmination of creativity, dedication, and skill. Each project is a testament to my passion for innovation and my commitment to delivering excellence.
The Interactive Education App Recycling Program Based on Artificial Intelligence (AI) as a Learning and Business Opportunity. This is my project as a team. My task in this project are develop and deploy an image classification model to classify the type of waste using MobileNetV2, a sentiment analysis model using SVM, create a website dashboard consisting of UI, CRUD, and endpoint API using Bootstrap and Flask
A Recycling Recommendation Application. This is my project as a team. My task in this project are build an image classification model to classify the type of waste using DenseNet121, a waste recycling recommendations model using a content-based filtering approach, utilizing the TF-IDF algorithm and cosine similarity, and create an endpoint API to deploy the model.
IKost is a website that provides information on boarding houses and places to help recommend boarding houses based on the criteria of price, facilities, location, room size, and security provided. This website was created using the Laravel framework, bootstrap, adminLTE. The IKost website provides Login and CRUD features, where admins can add, edit, and delete boarding house data, criteria, weights, and types of criteria. Users can view boarding house information and decision support system features to choose boarding houses by entering weights according to their needs.
This is a data analysis project on bike sharing, deployed using Streamlit. I completed this project as a submission for a course on the Dicoding platform.
This is a website that has been integrated with machine learning technology that I created during semester 4. This website aims to determine whether or not water is suitable for consumption by classifying it based on pH, Hardness, Solids, Chloramines, Sulfate, Conductivity, Organic Carbon, Trihalomethanes, Turbidity contained in water
I have completed a project involving the design of a school website profile UI/UX using Figma. The aim was to develop an intuitive interface with visually appealing layouts and user-friendly interactions, prioritizing an optimal user experience
This is my project to design the UI/UX for a car rental application using Figma. I'm focusing on creating a seamless user experience with intuitive navigation, visually appealing interfaces, and efficient functionality
Here you can find information about my educational journey and qualifications.
IPA| Tegal, Indonesia | Jun 2016 - May2019
Undergraduate in Informatics Engineering| Tegal, Indonesia | Sep 2021–Present
Here you can find information about my professional experiences and involvement.
Social Division | Mar 2023 – Jan 2024
Competition Division | Apr 2023 – Jan 2024
Activity Division | Feb 2022 – Dec 2022