From 803d8a169de4c003a97d4ce9e2eb22856a2e0649 Mon Sep 17 00:00:00 2001 From: Arthur DANJOU Date: Wed, 17 Dec 2025 09:45:41 +0100 Subject: [PATCH] feat: modifier le type des collections 'hobbies' et 'profile' en 'page' et ajouter une description au projet Hackahton CND --- content.config.ts | 6 +++--- content/experiences/hackathon-dirisi.md | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/content.config.ts b/content.config.ts index 12277f4..aa1fa46 100644 --- a/content.config.ts +++ b/content.config.ts @@ -86,7 +86,7 @@ export default defineContentConfig({ }) }), hobbies: defineCollection({ - type: 'data', + type: 'page', source: 'hobbies.md' }), languages: defineCollection({ @@ -101,8 +101,8 @@ export default defineContentConfig({ }) }), profile: defineCollection({ - type: 'data', + type: 'page', source: 'profile.md' - }), + }) } }) diff --git a/content/experiences/hackathon-dirisi.md b/content/experiences/hackathon-dirisi.md index cff80ec..1bf2525 100644 --- a/content/experiences/hackathon-dirisi.md +++ b/content/experiences/hackathon-dirisi.md @@ -1,6 +1,6 @@ --- title: Hackahton CND -description: +description: Developed a Python ML pipeline during the Dirisi hackathon to classify system logs for bug and attack detection. Implemented feature extraction and preprocessing, trained and evaluated models (tree-based and lightweight neural), tuned thresholds to favor recall, and delivered a realtime prototype with visualization and reproducible code in collaboration with CND engineers. Implemented a Streamlit application to test the classifier interactively and used an LLM to generate contextual help explaining the likely origin and indicators of detected bugs or attacks for end users. company: Commissariat au numérique de défense (CND), French Armies ministry companyUrl: https://www.defense.gouv.fr/cnd location: Fort du Mont-Valérien, Suresnes, France