cleaned up readme
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README.md
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README.md
@@ -31,7 +31,7 @@ Technical Requirements:
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1. AI & Multimodal Intelligence
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Multimodal Extraction: Use Gemini 3.1 Flash Lite to accept image/jpeg inputs and return a strictly validated JSON Schema containing title, ingredients, and steps.
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Multimodal Extraction: Uses Gemini 3.1 Flash Lite to accept image/jpeg inputs and return a strictly validated JSON Schema containing title, ingredients, and steps.
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Semantic Search: Implement pgvector in the local database. Recipes will be converted into "embeddings" (via Gemini) to allow users to search for "Comfort food for a rainy day" instead of just keyword matches.
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@@ -39,8 +39,6 @@ Technical Requirements:
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Directory Structure: Adherence to the new app/ directory standard for better IDE performance and separation of concerns.
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Serverless-Style Routes: Use Nitro server routes to keep the Gemini API Key hidden from the client-side.
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Responsive Design: A UI that adapts perfectly to a tablet propped up on a kitchen counter.
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3. Data & Storage
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@@ -49,14 +47,10 @@ Technical Requirements:
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Private Media Pipeline: A custom upload handler that saves images to a local Docker volume, served via a secured static asset route.
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Sharing Permissions: A relational join-table logic that allows one user to "push" a recipe to another user's library.
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Use Cases:
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Photo-to-Recipe: User snaps a picture of a magazine page; Gemini extracts the text; the user saves it to their Postgres DB.
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Semantic Discovery: User searches for "High protein dinner with lime" and the app uses vector similarity to find the best match.
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Ad-Free Web Scraping: User pastes a blog URL; the server fetches the content, and Gemini strips out the ads and life stories.
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Collaborative Boxes: One user "seasons" a recipe (rates/tags it) and shares it with someone who also uses the instance.
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Ad-Free Web Scraping: User pastes a blog URL; the server fetches the content, and Gemini strips out the ads and life stories.
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