@@ -244,37 +244,26 @@ The group selects a market or social domain and develops the following steps:
244244[ 6.] ( ) Apply ** AI / ML techniques** to generate predictions when possible.
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249+ [ ** Deliverables for Stage 1:** ] ( )
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267- ## [ Extension \& Applied Projects / Repositories] ( )
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271- | [ Project] ( ) | [ Description] ( ) | [ Status] ( ) |
272- | :-- | :-- | :-- |
273- | [ Phishing Detector] ( ) | Machine Learning model to detect fraudulent emails | Coming Soon |
274- | [ Social Engineering Simulator] ( ) | Awareness training simulation | Coming Soon |
275- | [ AI Security Toolkit] ( ) | Monitoring and protection utilities | Coming Soon |
276- | [ CTF Challenges] ( ) | Capture The Flag exercises | Coming Soon |
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253+ [ -] ( ) Notebook (Colab/Jupyter) with all code used in the project.
254+ [ -] ( ) Data set (if applicable).
255+ [ -] ( ) SQL database dump.
256+ [ -] ( ) PDF report covering:
257+ [ -] ( ) Team members.
258+ [ -] ( ) Project topic.
259+ [ -] ( ) General and specific objectives.
260+ [ -] ( ) APIs and data sources used.
261+ [ -] ( ) SQL database structure (tables/fields or ER diagram) and dump.
262+ [ -] ( ) Explanation of analyses and plots in relation to the objectives.
263+ [ -] ( ) Explanation of AI techniques used for prediction and their relation to the objectives.[ file:2]
264+ [ -] ( ) Presentation (.pptx) summarizing the report.[ file:2]
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266+ 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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283272> Projects are structured to be publicly documented and version-controlled. <br >
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