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Multilingual Social Media Interaction
- Auto-chat with users on major social platforms
- Respond to inquiries about attractions, hotels, restaurants, and events
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Personalized Marketing
- Send location-based offers and promotions
- Campaign scheduling & automation
- Recommendations tailored to user preferences
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Data Analytics Dashboard
- Track engagement metrics and conversion rates
- Analyze visitor behavior and preferences
- Export actionable insights for marketing
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Multilingual Support
- All world languages supported
- Automatic detection of user language and context
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Integrated AI Core
- Transformer-based LLM with OCR and text reasoning
- Fine-tuned on tourism and marketing datasets
1from transformers import AutoModelForCausalLM, AutoTokenizer
2import torch
3
4model_name = "HamzahZaher/Land-of-Light-AI"
5tokenizer = AutoTokenizer.from_pretrained(model_name)
6model = AutoModelForCausalLM.from_pretrained(model_name)
7
8prompt = "Suggest personalized travel offers for a family visiting Riyadh."
9inputs = tokenizer(prompt, return_tensors="pt")
10outputs = model.generate(**inputs, max_length=150)
11print(tokenizer.decode(outputs[0], skip_special_tokens=True))
12@misc{alasmri2025landoflightai,
13 author = {Hamzah Zaher Alasmri},
14 title = {Land of Light AI: A Multilingual Tourism & Marketing Assistant for Saudi Arabia},
15 year = {2025},
16 howpublished = {Hugging Face Model Hub},
17 license = {Apache-2.0}
18}Environmental Impact
19 • Estimated emissions: ~86 kg CO₂
20 • Hardware: 8× A100 GPUs
21 • Training time: ~110 hours
22
23📚 Citation
24
25APA:
26Alasmri, H. Z. (2025). Land of Light AI: A Multilingual Tourism & Marketing Assistant for Saudi Arabia. Hugging Face Model Hub
