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Merge pull request #114 from Quantum-Software-Development/FabianaCampanari-patch-1
Refactor README to streamline content
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README.md

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@@ -244,37 +244,26 @@ The group selects a market or social domain and develops the following steps:
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[6.]() Apply **AI / ML techniques** to generate predictions when possible.
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[**Deliverables for Stage 1:**]()
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## [Extension \& Applied Projects / Repositories]()
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| [Project]() | [Description]() | [Status]() |
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| :-- | :-- | :-- |
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| [Phishing Detector]() | Machine Learning model to detect fraudulent emails | Coming Soon |
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| [Social Engineering Simulator]() | Awareness training simulation | Coming Soon |
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| [AI Security Toolkit]() | Monitoring and protection utilities | Coming Soon |
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| [CTF Challenges]() | Capture The Flag exercises | Coming Soon |
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<br>
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[-]() Notebook (Colab/Jupyter) with all code used in the project.
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[-]() Data set (if applicable).
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[-]() SQL database dump.
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[-]() PDF report covering:
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[-]() Team members.
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[-]() Project topic.
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[-]() General and specific objectives.
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[-]() APIs and data sources used.
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[-]() SQL database structure (tables/fields or ER diagram) and dump.
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[-]() Explanation of analyses and plots in relation to the objectives.
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[-]() Explanation of AI techniques used for prediction and their relation to the objectives.[file:2]
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[-]() Presentation (.pptx) summarizing the report.[file:2]
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This stage already counts towards the [**20 extension hours**](0, as it uses real or open data APIs in contexts of market or social interest.
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> Projects are structured to be publicly documented and version-controlled. <br>
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