Projects

Individual and team project details

Hanium Contest - PeepPeep

Project Overview

An innovative project that combines real-time voice cloning technology with RAG system to generate personalized AI fairy tales. It provides an immersive experience where the protagonist speaks with the user's voice by learning their voice patterns.

Main Features

  • Real-time Voice Cloning (ElevenLabs Instant Voice Cloning)
  • AI Fairy Tale Generation System
  • WebSocket Real-time Streaming
  • RAG-based Customized Content Generation
  • Binary Audio Data Processing

Used Technologies

  • FastAPI (Backend Framework)
  • ElevenLabs API (Voice Synthesis and Cloning)
  • WebSocket (Real-time Communication)
  • RAG System (Retrieval-Augmented Generation)
  • Python, Docker

Team Information

  • Team Name: JJongal (쫑알쫑알)
  • Project Period: 2025.04 ~ 2025.11
  • Role: Team Leader, AI Engineer, Backend Engineer
  • Team Composition: Designer 1, Frontend 2, Backend 1, AI 1

TABA Program - AI-based Visual Impaired Person Assistance System

Project Overview

TABA Program is a project that develops an AI-based real-time safety and communication assistance system for visually impaired people. I participated as an AI team member.

Main Features

  • Real-time Obstacle Detection and Warning System
  • Situation Recognition and Description of Surrounding Environment
  • Voice Recognition-based User Interface
  • Location-based Service Integration

Used Technologies

  • Python, TensorFlow, PyTorch
  • Computer Vision (OpenCV, YOLO)
  • Voice Recognition and Synthesis (Flutter Library STT/TTS)
  • Mobile Application Development

Programmers Data Analysis Bootcamp - Session Prediction Model

Project Overview

This project is a project that builds a session view prediction model using web log data and focuses on improving the performance of the model.

Main Features

  • Web Log Data Collection and Preprocessing
  • User Behavior Pattern Analysis
  • Session View Prediction Model Development
  • Model Evaluation and Performance Optimization

Used Technologies

  • Python, pandas, scikit-learn
  • Data Visualization (Matplotlib, Seaborn)
  • Machine Learning Model (Random Forest, XGBoost)
  • Database (SQL)
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