lfunderburk
commented
9 months ago In my repo I can repurpose:
- the data extraction and cleanup pipeline
- the ML model that classifies the vehicles
- I also have a Dash app with the score card of the vehicle
The only thing missing is the W&B integration
EcoDrive Advisor: Sustainable Transportation Guide Concept Overview: EcoDrive Advisor is an innovative application designed to help individuals and businesses make more environmentally friendly vehicle choices. By incorporating an ML model that classifies vehicles into electric, hybrid, and fuel-based categories, the application provides insights into the environmental impact of different transportation options. It aims to encourage the adoption of cleaner vehicles by offering personalized recommendations and detailed comparisons of carbon footprints associated with each vehicle type.
Core Features:
Vehicle Classification: classify vehicles into electric, hybrid, and fuel-based categories. Users can search for or input details about vehicles they are considering to get an instant classification along with an explanation of each category's environmental impact.
Personalized Vehicle Recommendations: Based on a user's driving habits, budget, and personal preferences, EcoDrive Advisor provides personalized recommendations for the most environmentally friendly vehicles that meet their needs. This could include suggestions for electric vehicles (EVs) for city commuters or hybrids for those with mixed driving patterns.
W&B Integration: Leverages Weights & Biases for tracking and optimizing the performance of the ML model used for vehicle classification. This includes monitoring accuracy, fine-tuning based on user feedback, and updating the model with new vehicle data as it becomes available.
Sustainability Scorecard: Provides a sustainability score for vehicles based on various factors such as emissions, energy source, and recyclability of vehicle components. This helps users make informed decisions aligned with their environmental values.
Leveraging existing code
This was my capstone project for an ML Engineering Course I took, so I can repurpose a lot of the code and add W&B integration Repo with my application https://github.com/lfunderburk/fuel-electric-hybrid-vehicle-ml