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.

lanfr144 b3dbbb5489 TG-194: Configure Zabbix Alerting for Discord and Email vor 1 Monat
.agents b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool vor 1 Monat
alembic b0692b7ed4 Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration vor 2 Monaten
docker 3b381ef9ab TG-193: Security: Remove hardcoded passwords and resolve DB login issues vor 1 Monat
docs c67be38ec9 TG-439: Finalize Capstone Documentation, DR Plan, and VM Arch vor 1 Monat
k8s 3b381ef9ab TG-193: Security: Remove hardcoded passwords and resolve DB login issues vor 1 Monat
nginx de8cac0c9c TG-85: finalize missing Nginx proxy and bookmarks scripts vor 2 Monaten
searxng b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool vor 1 Monat
.dockerignore d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore vor 2 Monaten
.gitattributes c27dd6f411 TG-85: enable export-subst for Format string git identification vor 2 Monaten
.gitignore 2562f19701 TG-193: Add scratch directory to gitignore vor 1 Monat
Final_Presentation.html a2d859e15b Execute Implementation Plan 2 vor 2 Monaten
PROJECT_CONTEXT.md 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration vor 2 Monaten
Project.pdf b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool vor 1 Monat
README.md c67be38ec9 TG-439: Finalize Capstone Documentation, DR Plan, and VM Arch vor 1 Monat
Retro Planning.pdf b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool vor 1 Monat
alembic.ini 79e1835d2c Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits vor 2 Monaten
app.py b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool vor 1 Monat
backup_db.sh c27dd6f411 TG-85: enable export-subst for Format string git identification vor 2 Monaten
check_users.py ab6577f344 Add check users script vor 2 Monaten
configure_zabbix_alerts.py b3dbbb5489 TG-194: Configure Zabbix Alerting for Discord and Email vor 1 Monat
data_sync.sh 74c8546260 TG-85: rewrite data_sync to auto-detach securely with nohup vor 2 Monaten
deploy.sh 942215fc72 TG-21: Update deploy.sh to include requests connectivity dependency. vor 2 Monaten
docker-compose.yml 3b381ef9ab TG-193: Security: Remove hardcoded passwords and resolve DB login issues vor 1 Monat
download_csv.sh 6554145d0d fix: resolve pip encoding issue and add exec permissions to download script vor 2 Monaten
generate_docs.py 366c69e754 TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion vor 2 Monaten
ingest_csv.py e81736c3ec TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units vor 2 Monaten
init.sql 923cbf260c TG-86: EMERGENCY FIX schema exact columns and docker compose crash vor 1 Monat
master_trigger.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools vor 2 Monaten
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config vor 2 Monaten
myloginpath.py 4112b60d71 Add untracked project files and configs vor 2 Monaten
proper_reset.sh 8ebd71c7b1 Add proper reset vor 2 Monaten
requirements.txt 27b3618f3b fix requirements.txt encoding for fpdf2 vor 1 Monat
rotate_passwords.py 3b381ef9ab TG-193: Security: Remove hardcoded passwords and resolve DB login issues vor 1 Monat
snmp_notifier.py 92fca88db4 fix: auto-create target tables and sanitize snmp notifications vor 2 Monaten
start_batch_ingest.sh 433d123181 Fix python virtual env paths vor 2 Monaten
unit_converter.py 6831915b67 TG-86: finalize system pre-initialization, auto-pull LLM, egg scales vor 1 Monat

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.
  • SearXNG Web Integration: When the local Database lacks culinary heuristics, the AI securely queries a local, private instance of SearXNG to answer questions without compromising patient privacy.
  • 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.
  • Distributed Microservice Topology: Supports decoupling across VirtualBox, Hyper-V, and WSL2 using Bridged Networking and SNMP container telemetry for Zabbix.

Documentation (Capstone Deliverables)

Please refer to the docs/ folder for detailed guides:

Tech Stack

  • Frontend: Streamlit
  • Database: MySQL 8.0
  • AI Engine: Ollama (Llama 3.2:1B)
  • Web Search: SearXNG
  • Monitoring: Zabbix (SNMPv2c)
  • Deployment: Native Ubuntu, Docker Compose, Hyper-V / VirtualBox
  • Project Management: Taiga (Synced dynamically via Python)