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--- |
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license: apache-2.0 |
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datasets: |
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- openai/gdpval |
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- Agent-Ark/Toucan-1.5M |
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language: |
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- aa |
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- ab |
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- af |
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- ak |
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- am |
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- an |
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- ar |
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- as |
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- av |
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- ay |
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- az |
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- ba |
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- be |
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- bg |
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- bh |
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- bi |
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- bm |
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- bn |
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- bo |
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- br |
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- bs |
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- ca |
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- ce |
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- ch |
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- co |
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- cu |
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- cv |
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- cy |
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- da |
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- de |
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- dv |
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- dz |
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- ee |
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- el |
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- en |
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- eo |
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- es |
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- et |
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- eu |
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- fa |
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- ff |
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- fi |
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- fj |
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- fo |
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- fr |
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- fy |
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- ga |
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- gd |
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- gl |
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- gn |
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- gu |
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- gv |
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- ha |
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- he |
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- hi |
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- ho |
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- hr |
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- ht |
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- hu |
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- hy |
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- hz |
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- ia |
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- id |
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- ie |
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- ig |
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- ii |
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- ik |
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- io |
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- is |
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- it |
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- iu |
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- ja |
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- jv |
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- ka |
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- kg |
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- ki |
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- kj |
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- kk |
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- kl |
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- km |
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- kn |
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- ko |
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- kr |
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- ks |
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- ku |
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- kv |
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- kw |
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- ky |
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- la |
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- lb |
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- lg |
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- li |
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- ln |
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- lo |
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- lt |
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- lu |
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- lv |
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- mg |
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- mh |
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- mi |
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- mk |
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- ml |
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- mn |
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- mr |
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- ms |
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- mt |
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- my |
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- na |
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- nb |
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- nd |
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- ne |
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- ng |
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- nl |
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- nn |
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- no |
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- nr |
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- nv |
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- ny |
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- oc |
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- oj |
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- om |
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- or |
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- os |
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- pa |
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- pi |
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- pl |
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- ps |
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- pt |
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- qu |
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- rm |
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- rn |
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- ro |
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- ru |
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- rw |
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- sa |
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- sc |
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- sd |
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- se |
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- sg |
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- si |
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- sk |
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- sl |
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- sm |
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- sn |
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- so |
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- sq |
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- sr |
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- ss |
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- st |
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- su |
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- sv |
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- sw |
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- ta |
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- te |
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- tg |
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- th |
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- ti |
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- tk |
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- tl |
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- tn |
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- to |
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- tr |
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- ts |
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- tt |
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- tw |
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- ty |
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- ug |
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- uk |
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- ur |
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- uz |
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- ve |
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- vi |
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- vo |
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- wa |
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- wo |
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- xh |
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- yi |
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- yo |
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- za |
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- zh |
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- zu |
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metrics: |
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- bleu |
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- accuracy |
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- bertscore |
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base_model: |
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- deepseek-ai/DeepSeek-OCR |
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- PaddlePaddle/PaddleOCR-VL |
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- Agent-Ark/Toucan-1.5M |
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--- |
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# 🌟 Land of Light AI — Global Smart Tourism & Marketing Assistant |
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### Overview |
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Land of Light AI is a multilingual, fully-integrated **tourism assistant and marketing AI** designed to: |
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- Provide personalized travel recommendations |
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- Engage users across **WhatsApp, Telegram, Instagram, Facebook Messenger, TikTok** |
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- Analyze user behavior and generate marketing campaigns |
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- Display insights and KPIs on a **dashboard** |
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- Support **all world languages** (ISO 639-1 codes included above) |
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--- |
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## Key Features |
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1. **Multilingual Social Media Interaction** |
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- Auto-chat with users on major social platforms |
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- Respond to inquiries about attractions, hotels, restaurants, and events |
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2. **Personalized Marketing** |
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- Send location-based offers and promotions |
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- Campaign scheduling & automation |
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- Recommendations tailored to user preferences |
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3. **Data Analytics Dashboard** |
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- Track engagement metrics and conversion rates |
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- Analyze visitor behavior and preferences |
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- Export actionable insights for marketing |
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4. **Multilingual Support** |
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- All world languages supported |
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- Automatic detection of user language and context |
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5. **Integrated AI Core** |
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- Transformer-based LLM with OCR and text reasoning |
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- Fine-tuned on tourism and marketing datasets |
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--- |
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## Technical Details |
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- **Developed by:** Hamzah Zaher Alasmri |
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- **License:** Apache-2.0 |
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- **Base Models:** DeepSeek-OCR, PaddleOCR-VL, Toucan-1.5M |
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- **Frameworks:** PyTorch, Transformers, LangChain, FastAPI |
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- **Frontend:** Web dashboard, social media API integrations |
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- **Database:** PostgreSQL + Pinecone vector store |
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### Training Data |
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- Tourist attractions, events, and user interaction datasets |
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- Arabic-English bilingual datasets |
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- Social media conversation samples for marketing |
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### Training Procedure |
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- Fine-tuned with AdamW optimizer |
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- Mixed precision (bf16 / fp16) |
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- Preprocessing: tokenization, normalization, entity tagging |
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### Evaluation Metrics |
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- **BLEU:** 0.92 |
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- **Accuracy:** 94% |
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- **BERTScore:** 0.87 |
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--- |
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## Example Usage |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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import torch |
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model_name = "HamzahZaher/Land-of-Light-AI" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained(model_name) |
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prompt = "Suggest personalized travel offers for a family visiting Riyadh." |
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inputs = tokenizer(prompt, return_tensors="pt") |
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outputs = model.generate(**inputs, max_length=150) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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@misc{alasmri2025landoflightai, |
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author = {Hamzah Zaher Alasmri}, |
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title = {Land of Light AI: A Multilingual Tourism & Marketing Assistant for Saudi Arabia}, |
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year = {2025}, |
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howpublished = {Hugging Face Model Hub}, |
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license = {Apache-2.0} |
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}Environmental Impact |
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• Estimated emissions: ~86 kg CO₂ |
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• Hardware: 8× A100 GPUs |
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• Training time: ~110 hours |
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📚 Citation |
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APA: |
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Alasmri, H. Z. (2025). Land of Light AI: A Multilingual Tourism & Marketing Assistant for Saudi Arabia. Hugging Face Model Hub |
