-Automate Data Collection strategy using Python and reduce the working time by more than 70%.-Collecting more than 3 billion worth of token text data- Project 1 : Sahabat AI LLM- Project 2 : Dira Voice Assistant

Learning about Machine Learning and Computer Vision

• Designing the layout and algorithm for object detection using YOLOV8• Determining the dataset and collecting the required object detection dataset • Implementing object detection using YOLOV8. • Designing the system and integrating the YOLOV8 model with a camera to create a tool to assist the visually impaired in walking

Becoming the judges for Data Royale Junior Division

• Increasing Dataset Collection from 300 Data to 2000 Data• Improving fish detection from 3 classification to 9 classification• Increasing accuracy from 81 % to 91% using pre-trained model• Implementing YOLOV8 to detect fish eyes• Make an freshness detection using pre-trained model and getting 88% accuracy

• Becoming of 4520 selected applicant out of 47000 interested registrant in Bangkit Academy batch 2• Finished all mandatory courses in coursera worth of 921 hours of machine learning course• Creating classification of 11 foods for Nutrikita application and reach 91% Accuracy using tensorflow• Creating Food System Reccomender for Nutrikita application• Developing backend system to conncect the model for Nutrikita mobile app using flask• Top 10% Graduate with average score of 96.69• Getting achievements as Top 50 Product Capstone out of 620+ team