Jafar NLP Engine

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.

Hello malramahi1, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Artificial Intelligence Please come over chat and discuss your requirement in a detailed way. Thank You

OK, I got what you want exactly. As a senior developer and AI engineer, I have done many projects using ML/DL, AI algorithms like swarm intelligence, and used various AI models from OpenAI like davinci, curie, babbage, ada, fine-tuned it per the client's requirements. I helped my clients with my high quality result and meanwhile have rich experiences in various aspects. If you pay attention on quality and performance rather than cheapness, I can be your right guy. Let's start to discuss details right now!

Hello there, This is Shree from Colan. Based on the basic scope we would like to give below approach: Approach for Urdu Chat GPT : We can build Urdu Chat GPT for answering Bank customer related queries by communicating with bank server using API. Libraries required : pywhatkit Request String Random WordNetLemmatizer Tensorflow Sequential BeautifulSoup(webscrapping) Pywhatkit Urdu hack (Urdu NLP processing) API required : Gpt3-instruct-sandbox Approach Building a model for Urdu NLP With Bank API integration First we need to analyze the Urdu requests raised by the bank customers and it is to be classified into issue wise. The important keywords under each issues is to be identified. These keywords are assumed based on expected requests and issue raised by bank customer at a particular point of time. Assuming API which is given by the client we have get the response in http format in API using request library of python. The Responses are extracted using web scrapping by extracting the text in the http response under each html tags which is done by web scrapping beautifulsoup library in python The Keyword identified by the above methods are converted to tags which constitutes the basis of JSON file. These tags are grouped in particular pattern these tags are given numerical values based on Bag of Words (BoW) encoding system. This encoding system will group the words based on occurrences and assign numerical values based on occurrences. Thanks Shree Colan.