Sri Lutfiya Dwiyeni
@rilufiyyLanguage Breakdown
Lines of code distribution across 34 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
35
PRs
0
Growth
+18%
Top Collaborators
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Coding Streak
Contribution activity over the past year
Milad
@milad-hub
Daniel Oliveira
@daniel3303
S4IL
@S4IL21
Dollar
@dollar25k
gale-crypto
@gale-crypto
Top Repositories
House Price Prediction using Gradient Boosting with Grey Wolf Optimizer (GWO) End-to-end machine learning project with data preprocessing, feature analysis, model rebuilding, and interactive Streamlit dashboard for performance comparison.
This repository showcases Decision Tree hyperparameter optimization using Optuna. It automates tuning parameters like max_depth, min_samples_split, min_samples_leaf, and criterion to improve model performance. Easily adaptable for classification or regression tasks, offering an efficient alternative to Grid or Random Search.
AuthenSynth AI is a hybrid AI detection system that analyzes text, images, audio, video, and code to determine authenticity, delivering probability scores and transparent explanations.
This project is an extension and architectural improvement of my original project, MeetRecall AI. The system was significantly expanded into a full Meeting Intelligence Platform, adding a RAG-based chatbot, topic clustering, and per-speaker sentiment analysis.
MeetRecall AI is a meeting intelligence platform that transforms uploaded audio or video into structured meeting analysis. It generates accurate transcriptions, extracts key insights, and builds a searchable knowledge base used by a RAG chatbot to answer questions about past meetings.
This project implements an end-to-end MLOps pipeline for house price prediction using MLflow, FastAPI, and Docker. It focuses on modular code design, experiment tracking, model monitoring, structured logging, and production-ready model deployment.
SmartSplit Bill AI is a web-based prototype application built using Streamlit that helps users extract transaction data from shopping receipts and split bills fairly among multiple participants. The application leverages AI-based receipt understanding models to read receipt images and automatically structure purchase information.
Open Source Impact
Contributions to external projects
