https://github.com/quantumcoderrr/neurodesk
NeuroDesk is a powerful, modular AI utility suite built using Python and Streamlit—designed to bring multiple AI tools under one sleek, unified UI. Whether you're summarizing PDFs, extracting text from images, detecting fake news, or managing your day with voice commands—NeuroDesk has your back.
https://github.com/quantumcoderrr/neurodesk
ai-toolkit all-in-one ocr open-source productivity-app python streamlit-app summarizer
Last synced: 5 months ago
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NeuroDesk is a powerful, modular AI utility suite built using Python and Streamlit—designed to bring multiple AI tools under one sleek, unified UI. Whether you're summarizing PDFs, extracting text from images, detecting fake news, or managing your day with voice commands—NeuroDesk has your back.
- Host: GitHub
- URL: https://github.com/quantumcoderrr/neurodesk
- Owner: QuantumCoderrr
- License: mit
- Created: 2025-06-24T12:41:49.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-06-24T14:14:42.000Z (8 months ago)
- Last Synced: 2025-07-05T23:11:27.443Z (7 months ago)
- Topics: ai-toolkit, all-in-one, ocr, open-source, productivity-app, python, streamlit-app, summarizer
- Language: Python
- Homepage:
- Size: 17.6 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
# 🧠 NeuroDesk
A modern AI toolkit packed into a single Streamlit app — perform voice-controlled tasks, summarize PDFs, extract text from images, and detect fake news.
## ⚙️ Tools Inside
- 🗣️ Voice-Controlled To-Do List *(local only)*
- 📄 PDF Summarizer
- 🖼 OCR (Image-to-Text)
## 🛠 Installation (Local)
```bash
git clone git@github.com:QuantumCoderrr/NeuroDesk.git
cd NeuroDesk
pip install -r requirements.txt
streamlit run app.py
```
## 🤝 Contributing
We welcome contributions of all kinds — bug reports, feature requests, pull requests, and suggestions to improve NeuroDesk.
To get started, please read [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on how to participate in this project.
## 🛡 License
This project is licensed under the MIT License.
See [LICENSE](LICENSE) for more information.