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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.

Albero (Tree): 4b877a542e
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LocalFoodAI_lan...
lanfr144 4b877a542e TG-196: Expert Code Quality and Security Refactor of app.py 1 mese fa
.agents b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 mese fa
alembic b0692b7ed4 Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 2 mesi fa
docker 3b381ef9ab TG-193: Security: Remove hardcoded passwords and resolve DB login issues 1 mese fa
docs 09c07aee72 TG-196: Full security refactor, Taiga sync, and Data pipeline automation 1 mese fa
k8s 09c07aee72 TG-196: Full security refactor, Taiga sync, and Data pipeline automation 1 mese fa
nginx de8cac0c9c TG-85: finalize missing Nginx proxy and bookmarks scripts 2 mesi fa
searxng b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 mese fa
.app.py.swp 09c07aee72 TG-196: Full security refactor, Taiga sync, and Data pipeline automation 1 mese fa
.dockerignore d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 mesi fa
.gitattributes c27dd6f411 TG-85: enable export-subst for Format string git identification 2 mesi fa
.gitignore 2562f19701 TG-193: Add scratch directory to gitignore 1 mese fa
Final_Presentation.html a2d859e15b Execute Implementation Plan 2 2 mesi fa
PROJECT_CONTEXT.md 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 mesi fa
Project.pdf b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 mese fa
README.md c67be38ec9 TG-439: Finalize Capstone Documentation, DR Plan, and VM Arch 1 mese fa
Retro Planning.pdf b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 mese fa
alembic.ini 79e1835d2c Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 2 mesi fa
app.py 4b877a542e TG-196: Expert Code Quality and Security Refactor of app.py 1 mese fa
backup_db.sh 09c07aee72 TG-196: Full security refactor, Taiga sync, and Data pipeline automation 1 mese fa
check_users.py ab6577f344 Add check users script 2 mesi fa
configure_zabbix_alerts.py b3dbbb5489 TG-194: Configure Zabbix Alerting for Discord and Email 1 mese fa
configure_zabbix_email.py 09c07aee72 TG-196: Full security refactor, Taiga sync, and Data pipeline automation 1 mese fa
data_sync.sh 09c07aee72 TG-196: Full security refactor, Taiga sync, and Data pipeline automation 1 mese fa
deploy.sh 942215fc72 TG-21: Update deploy.sh to include requests connectivity dependency. 2 mesi fa
docker-compose.yml 09c07aee72 TG-196: Full security refactor, Taiga sync, and Data pipeline automation 1 mese fa
download_csv.sh 6554145d0d fix: resolve pip encoding issue and add exec permissions to download script 2 mesi fa
generate_docs.py 366c69e754 TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 2 mesi fa
ingest_csv.py e81736c3ec TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units 2 mesi fa
init.sql 09c07aee72 TG-196: Full security refactor, Taiga sync, and Data pipeline automation 1 mese fa
master_trigger.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 mesi fa
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 2 mesi fa
myloginpath.py 4112b60d71 Add untracked project files and configs 2 mesi fa
proper_reset.sh 8ebd71c7b1 Add proper reset 2 mesi fa
requirements.txt 27b3618f3b fix requirements.txt encoding for fpdf2 1 mese fa
rotate_passwords.py 09c07aee72 TG-196: Full security refactor, Taiga sync, and Data pipeline automation 1 mese fa
snmp_notifier.py 92fca88db4 fix: auto-create target tables and sanitize snmp notifications 2 mesi fa
start_batch_ingest.sh 433d123181 Fix python virtual env paths 2 mesi fa
unit_converter.py 6831915b67 TG-86: finalize system pre-initialization, auto-pull LLM, egg scales 1 mese fa

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)