From ae4f4dd2dcd780fabd6c7e6d3d87847f70d134dc Mon Sep 17 00:00:00 2001 From: chloe Date: Wed, 4 Mar 2026 22:29:07 +0000 Subject: [PATCH] shift readme --- Seasoned.Frontend/README.md | 59 ------------------------------------- 1 file changed, 59 deletions(-) delete mode 100644 Seasoned.Frontend/README.md diff --git a/Seasoned.Frontend/README.md b/Seasoned.Frontend/README.md deleted file mode 100644 index d06413a..0000000 --- a/Seasoned.Frontend/README.md +++ /dev/null @@ -1,59 +0,0 @@ -# Seasoned - -The Pitch: - -Seasoned is a high-performance, private digital cookbook that bridges the gap between web discovery and kitchen execution. By combining the multimodal power of Gemini 1.5 Flash with a secure, self-hosted PostgreSQL backbone, Seasoned allows users to instantly "distill" messy recipe blogs and food photos into a standardized, searchable, and shareable library they truly own. - -Target Audience: - - The Modern Minimalist: Cooks who want an ad-free, recipe experience. - - The Legacy Keeper: Families digitizing handwritten recipes into a clean digital format. - - The Privacy Enthusiast: Users who want the power of AI without storing their personal data in a massive cloud. - -The Hybrid Tech Stack: - -| Components | Technology | -| :--- | :--- | -| **Hosting** | Private Server (Dockerized on home hardware) | -| **CI/CD** | Jenkins server | -| **Frontend** | Nuxt 4 + Vuetify + CSS | -| **Backend** | Nuxt Nitro | -| **Database** | Postgres + pgvector | -| **Intelligence** | Gemini 2.5 Flash | -| **Storage** | Local File System | - -Technical Requirements: - -1. AI & Multimodal Intelligence - - Multimodal Extraction: Use Gemini 1.5 Flash to accept image/jpeg inputs and return a strictly validated JSON Schema containing title, ingredients, and steps. - - 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. - -2. Full-Stack Architecture (Nuxt 4) - - Directory Structure: Adherence to the new app/ directory standard for better IDE performance and separation of concerns. - - Serverless-Style Routes: Use Nitro server routes to keep the Gemini API Key hidden from the client-side. - - Responsive Design: A UI that adapts perfectly to a tablet propped up on a kitchen counter. - -3. Data & Storage - - Relational Schema: A PostgreSQL database to manage Users, Recipes, Tags, and Shares. - - Private Media Pipeline: A custom upload handler that saves images to a local Docker volume, served via a secured static asset route. - - Sharing Permissions: A relational join-table logic that allows one user to "push" a recipe to another user's library. - -Use Cases: - - Photo-to-Recipe: User snaps a picture of a magazine page; Gemini extracts the text; the user saves it to their Postgres DB. - - Semantic Discovery: User searches for "High protein dinner with lime" and the app uses vector similarity to find the best match. - - Ad-Free Web Scraping: User pastes a blog URL; the server fetches the content, and Gemini strips out the ads and life stories. - - Collaborative Boxes: One user "seasons" a recipe (rates/tags it) and shares it with someone who also uses the instance.