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# FSS Navigator App
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![Python](https://img.shields.io/badge/Python-3.12-blue)
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![Streamlit](https://img.shields.io/badge/Streamlit-local_app-red)
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![Tests](https://github.com/utkarsh0493/FSS-Navigator-App/actions/workflows/tests.yml/badge.svg)
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![License](https://img.shields.io/badge/License-MIT-green)
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A privacy-first local Streamlit application for navigating, indexing, validating, and exporting reproducibility-oriented summaries of standardized computational research projects.
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A local Streamlit application for navigating, indexing, validating, and exporting summaries of standardized computational project structures.
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## Purpose
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No project files are uploaded to an external server.
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## Portfolio relevance
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This project demonstrates how a command-line/script-based research utility can be transformed into a local interactive data application.
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It showcases:
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- Python application development
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- Streamlit-based data app design
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- Local file-system parsing
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- Reproducibility-aware project validation
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- Metadata extraction and reporting
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- Modular software architecture
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- Automated testing with pytest
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- Continuous integration with GitHub Actions
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- Privacy-aware scientific tooling
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## Main features
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- Local folder scanning

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