ホーム エクスプローラ ヘルプ
サインイン
lanfr
/
LocalFoodAI_lanfr144
1
0
フォーク 0
ファイル 課題 0 Wiki

Repository used for the DOPRO project dealing with food AI.
This repository contains:
a full Taiga export plus all other documents that are part of your project planning, including any project presentation materials.
the full final product, including all files, documentation and presentation materials.

ツリー: f52c4027cb
ブランチ タグ
LocalFoodAI_lan...
lanfr144 f52c4027cb feat: add Zabbix dashboard creation script 2 ヶ月 前
.agents 7d59646d57 TG-6: Finalize remaining files 2 ヶ月 前
AI_History a9a1aa8f56 TG-29 TG-31 TG-32 TG-33: Implement EAV Architecture, Dynamic Medical CRUD UI, DataFrame Alert Engine, and Email Resets. TG-30: Fix Windows utf8 Encoding in Ingestion Engine. 2 ヶ月 前
alembic b0692b7ed4 Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 2 ヶ月 前
docker 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 ヶ月 前
docs b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ヶ月 前
k8s 4112b60d71 Add untracked project files and configs 2 ヶ月 前
legacy_scripts d53e2000e6 Sprint 6: Complete documentation and code cleanup 2 ヶ月 前
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 ヶ月 前
.dockerignore d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 ヶ月 前
.env 2f893b215d fix: docker build context and setup password rotation 2 ヶ月 前
.gitignore 4112b60d71 Add untracked project files and configs 2 ヶ月 前
Final_Presentation.html a2d859e15b Execute Implementation Plan 2 2 ヶ月 前
PROJECT_CONTEXT.md 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 ヶ月 前
README.md d53e2000e6 Sprint 6: Complete documentation and code cleanup 2 ヶ月 前
alembic.ini 79e1835d2c Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 2 ヶ月 前
app.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 ヶ月 前
check_users.py ab6577f344 Add check users script 2 ヶ月 前
configure_zabbix_dependencies.py f52c4027cb feat: add Zabbix dashboard creation script 2 ヶ月 前
create_taiga_task.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 ヶ月 前
create_zabbix_dashboard.py f52c4027cb feat: add Zabbix dashboard creation script 2 ヶ月 前
deploy.sh 942215fc72 TG-21: Update deploy.sh to include requests connectivity dependency. 2 ヶ月 前
docker-compose.yml fb501a581c fix: map frontend ports to 8502 and 8081 to completely bypass all rogue collisions 2 ヶ月 前
download_csv.sh 4112b60d71 Add untracked project files and configs 2 ヶ月 前
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 ヶ月 前
ingest_csv.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 ヶ月 前
init.sql ae711f7d4c TG-3: Docker Setup and DB Creation 2 ヶ月 前
init_zabbix_db.sh b3927a920c Add Zabbix DB init script 2 ヶ月 前
master_trigger.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 ヶ月 前
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 2 ヶ月 前
myloginpath.py 4112b60d71 Add untracked project files and configs 2 ヶ月 前
proper_reset.sh 8ebd71c7b1 Add proper reset 2 ヶ月 前
requirements.txt 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 ヶ月 前
reset_zabbix_db.sh 893ad9e858 Add reset DB script 2 ヶ月 前
rotate_passwords.py d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 ヶ月 前
setup_db.py 54db47f014 Disable foreign key checks during drop 2 ヶ月 前
setup_logins.exp c830b35313 TG-2: Automate DB setup and mysql_config_editor passwords for CI/CD 2 ヶ月 前
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding 2 ヶ月 前
setup_postfix.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 ヶ月 前
setup_searxng.sh 2d7307f7e4 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 2 ヶ月 前
setup_sprint7_taiga.py 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 ヶ月 前
setup_sprint8_taiga.py 3740dd8aad Add Sprint 8 Taiga script 2 ヶ月 前
setup_unix_user.sh 4112b60d71 Add untracked project files and configs 2 ヶ月 前
snmp_notifier.py b220610a68 Fix snmp_notifier to use snmptrap cli 2 ヶ月 前
start_batch_ingest.sh 433d123181 Fix python virtual env paths 2 ヶ月 前
sync_current_sprint.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 ヶ月 前
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange 2 ヶ月 前
taiga_sync_fixer.py 4112b60d71 Add untracked project files and configs 2 ヶ月 前
taiga_sync_fixes.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ヶ月 前
taiga_wiki_bookmarks.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ヶ月 前
taiga_wiki_push.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ヶ月 前
taiga_wiki_rename.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ヶ月 前
test_login.py 79789322c5 Add test login 2 ヶ月 前
test_snmp.py e48e7303c4 Add test SNMP script 2 ヶ月 前
unit_converter.py 01a685c9b1 Implement full dynamic CSV schema ingestion and unit conversion module 2 ヶ月 前
wiki_links_test.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ヶ月 前

README.md

Local Food AI 🍔

A strictly local, privacy-first AI Medical Dietitian and Food Explorer. This project leverages the OpenFoodFacts dataset and local LLMs (Ollama) to provide medically sound dietary advice, recipe parsing, and menu planning without sending any user data to the cloud.

Features

  • Dynamic Medical Profiling: Configure your health profile (e.g., Kidney issues, pregnancy, vegan). The AI dynamically adjusts all responses, recommendations, and warnings based on these exact medical needs.
  • RAG Architecture: The AI is connected to a massively partitioned local MySQL database. When you ask a question or request a meal plan, the AI executes SQL queries autonomously to fetch precise nutritional data.
  • Plate Builder & Unit Conversion: Input culinary recipes (e.g., "1.5 cups of flour") and the system converts them to metric standard weights based on the product's density.
  • High-Performance Database: Implements Grouped Vertical Partitioning to bypass InnoDB limits, featuring FULLTEXT indexing for lightning-fast search capabilities across millions of foods.

Documentation

Please refer to the docs/ folder for detailed guides:

Tech Stack

  • Frontend: Streamlit
  • Database: MySQL 8.0
  • AI Engine: Ollama (Mistral / Llama3)
  • Deployment: Native Ubuntu, Docker, Kubernetes
  • Project Management: Taiga (Synced dynamically via Python)