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🚀 *Sign Language Digit Recognition - Machine Learning Project*

In this video, we demonstrate a B.Tech-level Machine Learning project that recognizes hand sign digits using image processing and classification models. Ideal for engineering students looking for innovative project ideas with real-time applications!

🔍 *Steps Involved:*

1. Problem Understanding
2. Data Collection (Sign Language Digit Dataset)
3. Image Preprocessing (Resizing, Normalization)
4. Exploratory Data Analysis
5. Model Building (Convolutional Neural Networks - CNN)
6. Training & Validation
7. Accuracy Evaluation
8. Testing

🧠 *Technologies & Tools Used:*

Python
TensorFlow / Keras
Pandas, NumPy & Matplotlib
Jupyter Notebook
CNN (Convolutional Neural Network)

✅ Includes:

Full source code
Output demonstration
Code walkthrough
Testing

📩 **Need help with your final year project?

Fill this form:**
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📧 *Contact:*
[email protected]

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