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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: c926f25569
شاخه‌ها تگ‌ها
LocalFoodAI_lan...
lanfr144 c926f25569 TG-439: Repository Cleanup - Removed scratch scripts and obsolete artifacts 1 ماه پیش
.agents b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 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 c67be38ec9 TG-439: Finalize Capstone Documentation, DR Plan, and VM Arch 1 ماه پیش
k8s 4112b60d71 Add untracked project files and configs 2 ماه پیش
nginx de8cac0c9c TG-85: finalize missing Nginx proxy and bookmarks scripts 2 ماه پیش
searxng b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 ماه پیش
.dockerignore d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 ماه پیش
.env b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 ماه پیش
.gitattributes c27dd6f411 TG-85: enable export-subst for Format string git identification 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
Project.pdf b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 ماه پیش
README.md c67be38ec9 TG-439: Finalize Capstone Documentation, DR Plan, and VM Arch 1 ماه پیش
Retro Planning.pdf b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 ماه پیش
alembic.ini 79e1835d2c Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 2 ماه پیش
app.py b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 ماه پیش
backup_db.sh c27dd6f411 TG-85: enable export-subst for Format string git identification 2 ماه پیش
check_users.py ab6577f344 Add check users script 2 ماه پیش
data_sync.sh 74c8546260 TG-85: rewrite data_sync to auto-detach securely with nohup 2 ماه پیش
deploy.sh 942215fc72 TG-21: Update deploy.sh to include requests connectivity dependency. 2 ماه پیش
docker-compose.yml b947fc1e41 TG-439: Deploy Local SearXNG Web Search Tool 1 ماه پیش
download_csv.sh 6554145d0d fix: resolve pip encoding issue and add exec permissions to download script 2 ماه پیش
generate_docs.py 366c69e754 TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 2 ماه پیش
ingest_csv.py e81736c3ec TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units 2 ماه پیش
init.sql 923cbf260c TG-86: EMERGENCY FIX schema exact columns and docker compose crash 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 27b3618f3b fix requirements.txt encoding for fpdf2 1 ماه پیش
rotate_passwords.py d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 ماه پیش
snmp_notifier.py 92fca88db4 fix: auto-create target tables and sanitize snmp notifications 2 ماه پیش
start_batch_ingest.sh 433d123181 Fix python virtual env paths 2 ماه پیش
unit_converter.py 6831915b67 TG-86: finalize system pre-initialization, auto-pull LLM, egg scales 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.
  • 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)