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README.md
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# 🔋 Electric Vehicle Performance Prediction
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##
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---
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title: EV Performance Prediction
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emoji: 🔋
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colorFrom: blue
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colorTo: green
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sdk: gradio
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sdk_version: "4.44.1"
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app_file: app.py
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pinned: false
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---
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# 🔋 Electric Vehicle Performance Prediction
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## 📌 Description
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This application predicts the **technical performance (Electric Range)** of electric vehicles
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using a machine learning regression model.
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## 🧠 Model Information
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- Task: Regression
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- Target variable: Electric Range
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- Algorithm: XGBoost Regressor
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- Dataset size: ~73,000 samples
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- Number of features: 6
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## 📂 Input Features
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1. Model Year
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2. Make (encoded)
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3. Model (encoded)
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4. Electric Vehicle Type
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5. CAFV Eligibility
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6. Electric Utility
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## ▶️ How it works
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The Gradio web interface allows users to input vehicle specifications
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and returns the predicted electric range in kilometers.
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## 🚀 Deployment
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This demo is deployed using **Hugging Face Spaces + Gradio**.
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