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AboutUrduText-to-Speech (TTS) System: This project converts writtenUrdutext into natural speech using advanced deep learning models, including Conditional Variational Autoencoder (CVAE) with Adversarial Learning and Transformers. Ideal for applications in voice assistants and automated customer service.
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The content clearly discusses a project focused on Urdu AI development using deep learning models like Conditional Variational Autoencoder (CVAE) and Transformers, which are specifically tailored to Urdu applications.
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🛍️Collection of pretrained ML and NLP models for theUrdulanguage. - MaazAmjad/models
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The post specifically discusses NLP models tailored for the Urdu language, aligning with the category of Urdu AI development.
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GitHub
The "AILanguage Detector and Translator" project is a comprehensive solution designed to accurately detect languages and translate English text to either French orUrdubased on user selection. Leveraging Python programming language and the Naive Bayes algorithm, this project caters to diverse linguistic needs by providing robust language detection and translation capabilities.
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The content specifically discusses NLP research and language detection/translation capabilities, which relate to Urdu AI development.
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Barai is a voice-enabledAIchatbot that allows users to interact inUrduusing speech. It leverages Groq's Whisper and Llama models for speech-to-text and conversationalAI,anduses gTTS for text-to-speech responses. The app is built with Streamlit for a simple web interface.
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The post explicitly describes a specific Urdu AI development project using speech-to-text, text-to-speech, and NLP technologies, aligning with the categories of Urdu AI development.
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GitHub
This project is aimed at developing a machine translation system for translatingUrdutext into English using the Transformer-based architecture. The Transformer-based architecture is a deep learning-based approach that uses self-attention mechanisms to learn the contextual relationship between words in a sentence.
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The content clearly discusses Urdu language models and their application in machine translation, aligning with Urdu AI development.
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GitHub
TheUrduVoice Assistant is a Streamlit app that recordsUrduvoice commands, converts them to text, and usesAIto generate responses. These are displayed as text and played as speech, providing an interactive experience using voice recognition, natural language processing, and text-to-speech.
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The content specifically describes a Urdu-based AI application using voice recognition, natural language processing, and text-to-speech technologies, directly addressing Urdu AI development.
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GitHub
📚 StudyBuddy -UrduPDF Summarizer & Q&A Chatbot StudyBuddy is anAI-poweredUrdudocument assistant that helps users upload PDFs and either summarize them inUrduor ask context-based questions directly from the content — powered by Google GeminiAI.
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The content specifically describes a Urdu-language AI-powered document summarizer and Q&A chatbot using Google GeminiAI, directly addressing Urdu AI development.
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GitHub
This is an open-source OCR forUrduhandwritten documents. It contains three deep learning architectures built using TensorFlow 1.x. configs contains .json config files for the models data */data_folder_name folder name needs to be set in the config file images images in .jpg, .png or .jpeg format ...
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The content is clearly about Urdu AI development, specifically in the field of OCR and deep learning models.
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An NLP library for theUrdulanguage. It comes with a lot of battery included features to help you processUrdudata in the easiest way possible. - urduhack/urduhack
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The post describes a Python NLP library specifically tailored for the Urdu language, directly addressing Urdu AI development.
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GitHub
LughaatNLP: FirstUrdulanguage preprocessing library in Pakistan. Tokenization, lemmatization, stop word removal, and normalization forUrdutext. Join us to advanceUrduNLP! #OpenSource #UrduLan...
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The content specifically discusses Urdu language preprocessing and NLP research, highlighting the development of a library for Urdu language processing.
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GitHub
This project uses FacebookAI'smBART50 model for English toUrdutranslation. mBART50 is a multilingual sequence-to-sequence model with a shared SentencePiece tokenizer, supporting translation acr...
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The post specifically discusses a translation project using a model developed for Urdu AI, aligning with the criteria of Urdu AI development.
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GitHub
Oct 22, 2025Huda is a multilingual (English,Urdu, RomanUrdu) natural language and news processingAIbuilt by Marshmallow.Projects. Its purpose: to process information critically, verify sources, and guide users with truth, evidence, and wisdom — rooted in Islamic ethics.
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The content clearly describes a multilingual AI project (Marshmallow-Sahafi-Huda) focused on natural language processing and Islamic ethics, which is specifically about Urdu AI development.
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