Startsida Utforska Hjälp
Logga in
lanfr
/
LocalFoodAI_lanfr144
1
0
Fork 0
Filer Ärenden 0 Wiki

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.

Träd: bb2ac28c2e
Grenar Taggar
LocalFoodAI_lan...
lanfr144 bb2ac28c2e fix requirements.txt encoding for fpdf2 5 dagar sedan
.agents 7d59646d57 TG-6: Finalize remaining files 4 veckor sedan
AI_History f851d49f92 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. 3 veckor sedan
alembic 0fd29e16de Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 3 veckor sedan
docker 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 1 vecka sedan
docs 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 1 vecka sedan
k8s 4655c26f1f Add untracked project files and configs 2 veckor sedan
legacy_scripts c812444386 Sprint 6: Complete documentation and code cleanup 2 veckor sedan
nginx 50d8206bd3 TG-85: finalize missing Nginx proxy and bookmarks scripts 1 vecka sedan
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 4 veckor sedan
.dockerignore 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 1 vecka sedan
.gitattributes 0cfdf52814 TG-85: enable export-subst for Format string git identification 1 vecka sedan
.gitignore 4655c26f1f Add untracked project files and configs 2 veckor sedan
Final_Presentation.html 1558f08eca Execute Implementation Plan 2 3 veckor sedan
PROJECT_CONTEXT.md e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 veckor sedan
README.md c812444386 Sprint 6: Complete documentation and code cleanup 2 veckor sedan
alembic.ini 73f7a04cd0 Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 3 veckor sedan
app.py 7b6d6c5edd TG-87: implement AI PDF exporting and structured health profile UX 5 dagar sedan
backup_db.sh 0cfdf52814 TG-85: enable export-subst for Format string git identification 1 vecka sedan
check_users.py 7766898050 Add check users script 2 veckor sedan
close_sprint10.py 5f5b698954 chore: add script to finalize and close Taiga Sprint 10 1 vecka sedan
configure_zabbix_dependencies.py 9506807c76 feat: add Zabbix dashboard creation script 1 vecka sedan
configure_zabbix_email.py 097b99bd50 fix: update Zabbix auth payload for v7.0 and add debug logs 1 vecka sedan
configure_zabbix_teams.py db8b1a54d3 feat: integrate Zabbix with Microsoft Teams webhook 1 vecka sedan
create_bookmarks_page.py 50d8206bd3 TG-85: finalize missing Nginx proxy and bookmarks scripts 1 vecka sedan
create_taiga_task.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 1 vecka sedan
create_zabbix_dashboard.py ba0c30a5c1 TG-86: finalize zabbix dashboard generation script 5 dagar sedan
data_sync.sh 214521fd62 TG-85: rewrite data_sync to auto-detach securely with nohup 1 vecka sedan
deploy.sh a54dc25344 TG-21: Update deploy.sh to include requests connectivity dependency. 3 veckor sedan
docker-compose.yml 6cb128ca1c TG-86: EMERGENCY FIX schema exact columns and docker compose crash 1 vecka sedan
download_csv.sh 1a3cdcaf36 fix: resolve pip encoding issue and add exec permissions to download script 1 vecka sedan
generate_docs.py 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 1 vecka sedan
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 4 veckor sedan
ingest_csv.py 84cb5bdc6b TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units 1 vecka sedan
init.sql 6cb128ca1c TG-86: EMERGENCY FIX schema exact columns and docker compose crash 1 vecka sedan
init_zabbix_db.sh 06df1fda4e Add Zabbix DB init script 2 veckor sedan
master_trigger.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 3 veckor sedan
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 4 veckor sedan
myloginpath.py 4655c26f1f Add untracked project files and configs 2 veckor sedan
proper_reset.sh 776d6a6153 Add proper reset 2 veckor sedan
requirements.txt bb2ac28c2e fix requirements.txt encoding for fpdf2 5 dagar sedan
reset_zabbix_db.sh 9e59bd56c5 Add reset DB script 2 veckor sedan
rotate_passwords.py 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 1 vecka sedan
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding 3 veckor sedan
setup_nginx_zabbix.py 9698cb2db2 feat: add Zabbix web scenario monitoring for Nginx proxy 1 vecka sedan
setup_postfix.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 3 veckor sedan
setup_searxng.sh ebfb102bc7 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 3 veckor sedan
setup_sprint10_taiga.py 3fbfdf8004 chore: sync project management by creating Taiga Sprint 10 1 vecka sedan
setup_sprint7_taiga.py e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 veckor sedan
setup_sprint8_taiga.py 69bad82b3b Add Sprint 8 Taiga script 2 veckor sedan
setup_unix_user.sh 4655c26f1f Add untracked project files and configs 2 veckor sedan
snmp_notifier.py 1b9e8b1fab fix: auto-create target tables and sanitize snmp notifications 1 vecka sedan
start_batch_ingest.sh 00f1d63625 Fix python virtual env paths 3 veckor sedan
sync_current_sprint.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 1 vecka sedan
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange 4 veckor sedan
taiga_sync_fixer.py 4655c26f1f Add untracked project files and configs 2 veckor sedan
taiga_sync_fixes.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 veckor sedan
taiga_wiki_bookmarks.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 veckor sedan
taiga_wiki_may07.py 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 1 vecka sedan
taiga_wiki_push.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 veckor sedan
taiga_wiki_rename.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 veckor sedan
test_login.py d7f6558318 Add test login 2 veckor sedan
test_snmp.py 1d5ce8580c Add test SNMP script 2 veckor sedan
unit_converter.py ea04a85037 TG-86: finalize system pre-initialization, auto-pull LLM, egg scales 1 vecka sedan
update_bookmarks.py e1d0132353 TG-85: Extreme performance tuning via Pre-fetch Context RAG and UI token streaming 1 vecka sedan
update_taiga_status.py 9fc389ea56 feat: complete email alerting config and Taiga closure 1 vecka sedan
wiki_links_test.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 veckor sedan
zabbix_telemetry.py 7ca6cd88d5 TG-86: decouple telemetry script from streamlit app 1 vecka sedan

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)