🚘 01. Autonomous Driving – Real-Time Map Fitting
Problem
Curve fitting for autonomous driving map data was slow and storage-heavy, relying on RMS-based polyfit methods.
Solution
We reformulated the problem using parametric boundary representation and derived an analytic Bezier-based formula.
Impact / Result
- ⚡ 100× faster computation
- 📉 60× smaller data size
- 🏆 Led to multiple patents, including one granted in the U.S. and 3 additional patents filed in Korea
Tech Stack
Python, Bezier curve modeling, Custom optimization algorithms
⛴️ 02. Fuel Forecasting for Maritime Shipping
Problem
Captains relied on instinct to balance fuel use and contractual deadlines, resulting in inefficiencies.
Solution
We built a machine learning model based on ship dynamics and weather conditions, with custom features and interpretable outputs.
Impact / Result
- 🎯 Forecast accuracy within 3–5%
- 📊 Enabled data-driven routing decisions
- 🌍 Reduced fuel consumption and emissions
Tech Stack
Python, Scikit-learn, Pandas, Weather APIs, PyTorch, PyTorch, XGBoost, PatchTST
🏠 03. Predicting Real Estate Trends
Problem
Traditional models failed to anticipate turning points or saturation in housing markets.
Solution
We combined global housing datasets with non-linear, non-stationary modeling to capture market dynamics.
Impact / Result
- 🔮 Predicted upcoming price stagnation and reversal
- ✅ Matched real-world changes with <10% deviation
- 💡 Helped decision-makers act before market shifts
Tech Stack
Python, Time-series forecasting, Non-linear regression models,
⚙️ 04. Early Fault Detection for Industrial Systems
Problem
Failures in machinery were only detected post-breakdown, leading to reactive maintenance and delays.
Solution
We developed a real-time anomaly index using sensor features and a custom active learning framework.
Impact / Result
- 🚨 Pre-failure detection capability
- ⏱️ Enabled real-time alerts
- 🔧 Reduced maintenance downtime
- 🏆 Resulted in a filed patent in Korea for early fault detection
Tech Stack
Python, TensorFlow, Real-time streaming (Kafka), Sensor data processing, Active learning algorithms, Statistical modeling
📢 05. Influencer Recommendation System
Problem
No established metrics or features existed to evaluate influencer effectiveness.
Solution
We created new statistical features and built a recommendation system with a lightweight admin interface and API integration.
Impact / Result
- 📈 Allowed brand managers to identify high-impact influencers
- ⚡ Fast prototyping with real-world deployment
Tech Stack
Python, Django, React, REST API, PostgreSQL, Statistical modeling
🚦 06. ETA Prediction & Route Optimization
Problem
Navigation systems only used current traffic conditions, requiring frequent re-routing and unstable arrival predictions.
Solution
We developed a model combining historical congestion patterns with real-time event data for future-aware route planning.
Impact / Result
- 🕒 Stable arrival time forecasts
- 🛣️ Reduced need for mid-route changes
- 🏆 Backed by a granted Korean patent for improving estimated passing speed
Tech Stack
Python, PyTorch, Graph-based modeling, Geospatial analysis
How We Work