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README.md

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+---
+language:
+- en
+license: mit
+library_name: keras
+tags:
+- human-activity-recognition
+- pose-estimation
+- mediapipe
+- tensorflow
+datasets:
+- guillherms/human-activity-pose_v4
+pipeline_tag: image-classification
+pretty_name: Human Activity Recognition MLP
+---
+
+# 🧠 Human Activity Recognition MLP
+
+This model classifies human activities (reading, waving, office work, etc.)
+using pose landmarks extracted from **MediaPipe Pose**.
+
+## 📊 Architecture
+- Multi-Layer Perceptron (Dense NN)
+- Input: 132 pose landmark features
+- Output: 10 activity classes
+
+## 🧩 Files
+- `mlp_pose.h5`: Trained Keras model
+- `label_encoder.pkl`: Encodes activity labels
+
+## 🧠 Author
+Created by **Guilherme Santos**