BerkKilicoglu/Fuel-Consumption-Estimator
Desktop application that estimates fuel consumption using a trained machine learning model.
Supports multiple vehicle profiles with real-world parameters, leveraging a pre-trained ML model serialized as a pickle file trained on the UCI Auto MPG dataset. Users can create and compare fuel consumption estimates across different vehicle configurations through an interactive GUI. The application employs a local inference approach, eliminating external API dependencies for predictions.
No commits in the last 6 months.
Stars
18
Forks
3
Language
Python
License
MIT
Category
Last pushed
Oct 23, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/BerkKilicoglu/Fuel-Consumption-Estimator"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
emirhanai/SO2-Emission-Prediction-from-Diesel-Engines-with-Quantum-Technology-5G
SO2 Emission Prediction from Diesel Engines with Quantum Technology (5G). A worldwide study has...
emirhanai/US-dry-natural-production-prediction-machine-learning.py
Dry Natural Gas Production Prediction of the United States
RozhakDev/CarbonML-Purbalingga
Prediksi emisi karbon di Purbalingga berbasis data geospasial dari OpenStreetMap. Menggunakan...
Vatshayan/Co2-Emission-Prediction-Using-Machine-Learning
Final year Co2 Emission Prediction Using Machine Learning Project with source code and...
lenaromanenko/food_carbon_footprint
Prediction of food products' ecological footprint with Gradient Boosting Regressor, creating a...