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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.

目錄樹: 4a36800055
分支列表 標籤列表
LocalFoodAI_lan...
lanfr144 4a36800055 Update restart policy and add app version 2 月之前
.agents 7d59646d57 TG-6: Finalize remaining files 2 月之前
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 月之前
alembic b0692b7ed4 Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 2 月之前
docker bd33592a27 Add snmp to Streamlit container for traps 2 月之前
docs 4a36800055 Update restart policy and add app version 2 月之前
k8s 4112b60d71 Add untracked project files and configs 2 月之前
legacy_scripts d53e2000e6 Sprint 6: Complete documentation and code cleanup 2 月之前
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 月之前
.gitignore 4112b60d71 Add untracked project files and configs 2 月之前
Final_Presentation.html a2d859e15b Execute Implementation Plan 2 2 月之前
PROJECT_CONTEXT.md 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 月之前
README.md d53e2000e6 Sprint 6: Complete documentation and code cleanup 2 月之前
alembic.ini 79e1835d2c Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 2 月之前
app.py 4a36800055 Update restart policy and add app version 2 月之前
check_users.py ab6577f344 Add check users script 2 月之前
deploy.sh 942215fc72 TG-21: Update deploy.sh to include requests connectivity dependency. 2 月之前
download_csv.sh 4112b60d71 Add untracked project files and configs 2 月之前
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 月之前
ingest_csv.py 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 月之前
init.sql ae711f7d4c TG-3: Docker Setup and DB Creation 2 月之前
init_zabbix_db.sh b3927a920c Add Zabbix DB init script 2 月之前
master_trigger.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 月之前
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 2 月之前
myloginpath.py 4112b60d71 Add untracked project files and configs 2 月之前
proper_reset.sh 8ebd71c7b1 Add proper reset 2 月之前
requirements.txt 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 月之前
reset_zabbix_db.sh 893ad9e858 Add reset DB script 2 月之前
setup_db.py 54db47f014 Disable foreign key checks during drop 2 月之前
setup_logins.exp c830b35313 TG-2: Automate DB setup and mysql_config_editor passwords for CI/CD 2 月之前
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding 2 月之前
setup_postfix.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 月之前
setup_searxng.sh 2d7307f7e4 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 2 月之前
setup_sprint7_taiga.py 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 月之前
setup_sprint8_taiga.py 3740dd8aad Add Sprint 8 Taiga script 2 月之前
setup_unix_user.sh 4112b60d71 Add untracked project files and configs 2 月之前
snmp_notifier.py b220610a68 Fix snmp_notifier to use snmptrap cli 2 月之前
start_batch_ingest.sh 433d123181 Fix python virtual env paths 2 月之前
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange 2 月之前
taiga_sync_fixer.py 4112b60d71 Add untracked project files and configs 2 月之前
taiga_wiki_push.py 4e33014bb2 Split Scrum Wiki into separate daily entries 2 月之前
test_login.py 79789322c5 Add test login 2 月之前
test_snmp.py e48e7303c4 Add test SNMP script 2 月之前
unit_converter.py 01a685c9b1 Implement full dynamic CSV schema ingestion and unit conversion module 2 月之前

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)