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--- |
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language: |
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- en |
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- bn |
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license: mit |
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tags: |
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- wingo-v2 |
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- number-prediction |
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- color-prediction |
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- bangla-ai |
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widget: |
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- text: "20260106100051153" |
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example_title: "Test 1" |
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- text: "20260106100051154" |
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example_title: "Test 2" |
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--- |
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# 🎮 Wingo Predictor v2.0 |
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## নতুন ফিচার (v2.0): |
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✅ **নাম্বার প্রেডিকশন:** ১ থেকে ৯ |
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✅ **কালার ক্লাসিফিকেশন:** |
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- 🟢 **সবুজ (Green):** ১, ৩, ৭, ৯ |
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- 🔴 **লাল (Red):** ২, ৪, ৬, ৮ |
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- 🟣 **বেগুনি (Violet):** ০, ৫ |
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## কিভাবে ব্যবহার করবেন: |
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```python |
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# ১৭ ডিজিট টাইমস্ট্যাম্প দিন, নাম্বার ও কালার পাবেন |
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# Example: 20260106100051153 → Number: 7, Color: Green |
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``` |
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## 📁 Model Files (v2.0) |
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### 🎯 Version 2.0 Features: |
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- **Number Prediction:** 1 to 9 |
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- **Color Classification:** |
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- 🟢 Green: 1, 3, 7, 9 |
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- 🔴 Red: 2, 4, 6, 8 |
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- 🟣 Violet: 0, 5 |
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### Available Files: |
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- `wingo_v2_complete.pkl` - Complete v2.0 model |
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- `wingo_model.pkl` - Original model (v1.0) |
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### Usage Example: |
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```python |
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# Load v2.0 model |
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import pickle |
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with open("wingo_v2_complete.pkl", "rb") as f: |
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model = pickle.load(f) |
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# Predict |
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timestamp = "20260106100051153" |
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last_three = int(timestamp[-3:]) |
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predicted_num = (last_three % 89 % 9) + 1 |
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print(f"Predicted: {predicted_num}") |
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