Comprehensive AI Currency Recognition Model sailing interested to buy?

I am offering a ready-to-use AI Currency Recognition Model designed to identify banknotes quickly from images or camera input.
The model supports 100+ currencies from countries across Asia, Europe, Africa, North America, South America, the Middle East, and Oceania.
Key Features:
• Instant currency recognition
• Supports 100+ currencies
• Can recognize notes in different conditions, including old, folded, worn, and damaged notes, when sufficient details are visible
• Fast AI-based banknote classification
• Suitable for camera-based applications
• TensorFlow Lite (.tflite) model available
• Can be integrated into Python, mobile, desktop, and other AI applications
• Suitable for accessibility and assistive-technology projects
• Demo/testing video available
Supported Currencies:
Afghan Afghani, Bangladeshi Taka, Bhutanese Ngultrum, Cambodian Riel, Chinese Yuan, Hong Kong Dollar, Indonesian Rupiah, Japanese Yen, Kazakh Tenge, Kyrgyz Som, Laotian Kip, Macanese Pataca, Malaysian Ringgit, Maldivian Rufiyaa, Mongolian Tugrik, Nepalese Rupee, New Taiwan Dollar, Pakistani Rupee, Philippine Peso, Singapore Dollar, South Korean Won, Sri Lankan Rupee, Thai Baht, Uzbekistani Som, Vietnamese Dong, Bulgarian Lev, Croatian Kuna, Czech Crown, Danish Krone, Euro, Hungarian Forint, Northern Ireland Pound, Polish Zloty, Romanian Leu, Swedish Krona, Albanian Lek, Armenian Dram, Belarusian Ruble, Bosnian Mark, British Pound, Georgian Lari, Icelandic Crown, Macedonian Denar, Moldovan Leu, Norwegian Krone, Russian Ruble, Scottish Pound, Serbian Dinar, Swiss Franc, Transnistrian Ruble, Turkish Lira, Ukrainian Hryvnia, Algerian Dinar, Burundian Franc, Cape Verde Escudo, Central African CFA Franc, Comorian Franc, Congolese Franc, Egyptian Pound, Ethiopian Birr, Ghanaian Cedi, Kenyan Shilling, Liberian Dollar, Libyan Dinar, Mauritian Rupee, Moroccan Dirham, Nigerian Naira, Rwandan Franc, South African Rand, South Sudanese Pound, Sudanese Pound, Tanzanian Shilling, Tunisian Dinar, Ugandan Shilling, West African CFA Franc, Zambian Kwacha, Canadian Dollar, Mexican Peso, U.S. Dollar, Aruban Florin, Barbadian Dollar, Costa Rican Colon, Dominican Peso, Eastern Caribbean Dollar, Guatemalan Quetzal, Haitian Gourde, Honduran Lempira, Jamaican Dollar, Nicaraguan Cordoba, Trinidad and Tobago Dollar, Argentine Peso, Bolivian Boliviano, Brazilian Real, Chilean Peso, Colombian Peso, Guyanese Dollar, Paraguayan Guarani, Peruvian Sol, Uruguayan Peso, Venezuelan Bolivar, Bahraini Dinar, Emirati Dirham, Iranian Rial, Iraqi Dinar, Israeli Shekel, Jordanian Dinar, Kuwaiti Dinar, Lebanese Pound, Omani Rial, Qatari Riyal, Saudi Riyal, Syrian Pound, Yemeni Rial, Australian Dollar, New Zealand Dollar.
Ideal for:
• Currency reader applications
• FinTech projects
• Cash recognition systems
• Computer vision projects
• Accessibility and assistive technology
• Visually impaired accessibility applications
• Mobile and desktop AI applications
• Developers looking for a ready-made currency recognition model
A demo/test video can be provided so you can see the model working before purchasing.
Interested in buying?