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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.

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

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)