README.md

---
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**