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---
title: Pokémon Price Predictor
emoji: 🃏
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 4.38.1
app_file: app.py
pinned: false
license: mit
tags:
- pytorch
- scikit-learn
- gradio
- machine-learning
- tabular-classification
- price-prediction
- finance
- pokemon
- pokemon-cards
- tcg
- collectibles
---
## PokePrice: Pokémon Card Price Trend Predictor
This application uses a PyTorch-based neural network to predict whether the market price of a specific Pokémon card will rise by 30% or more over the next six months.
### How It Works
1. **Enter a Card ID:** Input the numeric TCGPlayer ID for a specific Pokémon card. You can find this ID in the URL of the card's page on the TCGPlayer website (e.g., `tcgplayer.com/product/84198/...`).
2. **Get Prediction:** The model analyzes various features of the selected card, such as its rarity, type, and historical price data, to make a prediction.
3. **View Results:** The application displays:
* The card's name and the prediction (whether the price is expected to **RISE** or **NOT RISE**).
* The model's confidence level in the prediction.
* A direct link to view the card on TCGPlayer.com.
* The actual historical outcome if it exists in the dataset, for comparison.
### The Technology
- **Model:** A simple feed-forward neural network built with PyTorch.
- **Data:** The model was trained on a custom dataset derived from the [Pokémon TCG API](https://pokemontcg.io/) and historical market data from TCGPlayer.
- **Frontend:** The user interface is created with [Gradio](https://www.gradio.app/).
- **Deployment:** Hosted on [Hugging Face Spaces](https://huggingface.co/spaces).
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