WHATSAPP AUTO RESPONDER USING NATURAL LANGUAGE PROCESSING AND AI

Have you ever desired to automatically wish your friends on their birthdays, or send a set of messages to your friend (or any WhatsApp connection!) automatically at a preset time, or send your friends by sending hundreds of random texts on WhatsApp and reply to your WhatsApp! messages automatically and in some cases, you are not next to your phone, but want to respond to WhatsApp messages? there is no way unless you stay online. Auto Responder for WhatsApp is an automatically respond to predefined messages, which contain few words or equal a message. Auto Responder WhatsApp is alternatively called WA Chat Bot. You can set custom responses for different messages. Each time a user enters a message, the library saves the text that they entered and the text that the message was in response to. As ChatterBot receives more input the number of responses that it can responds and the accuracy of each response in relation to the input statement increase. The code obtains precise response to the actual statement of search and results in appropriate response statement based on how frequently the person issues each response the bot communicates with. NLTK is written in Python and distributed under the GPL open source license. NLTK was the most promising technique in education and research from the past three decades. NLT is the most promising statistical and symbolic code module to process natural languages. User friendly interface being provided by NLTK to various libraries towards text processing viz., parsing, tokenization and streaming