Ergonomics_Edgeimpulse

A Python-based project focused on ergonomics-oriented workflows.

📌 Overview

Ergonomics_Edgeimpulse is intended to support data-driven ergonomics applications, such as posture/activity monitoring, classification pipelines, or related ML-assisted analysis workflows.

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✨ Features

• Python-first implementation
• Modular and script-friendly workflow
• Supports data preprocessing and model experimentation
• Designed to be extendable for Edge Impulse-compatible datasets/pipelines

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🧰 Tech Stack

• Language: Python (100%)
• Other tools:
  • NumPy / Pandas
  • scikit-learn
  • Matplotlib / Seaborn
  • Jupyter Notebook

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🚀 Getting Started

Prerequisites

• Python 3.9+ (recommended)
• pip (or conda)

Installation

git clone https://github.com/bhumikaverma05/Ergonomics_Edgeimpulse.git
cd Ergonomics_Edgeimpulse
python -m venv .venv
# Activate virtual environment:
# Windows:
.venv\Scripts\activate
# macOS/Linux:
source .venv/bin/activate

pip install -r requirements.txt

🧪 Example Workflow

1. Collect/prepare ergonomics-related data.
2. Preprocess and clean the dataset.
3. Train or evaluate classification/regression model(s).
4. Export artifacts and test inference flow.

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👤 Author

Bhumika Verma
GitHub: @bhumikaverma05