Natural Language Processing facilitates AI algorithms to enable interaction between humans and computers. NLP combines Computational Linguistics, Computing Science, Cognitive Science and Artificial Intelligence to perform tasks such as machine translation, automatic summarisation, topic segmentation, relationship extraction, information retrieval, and speech recognition. These vast capabilities of NLP can be applied to a diverse set of problems to generate ease-of-use and social good with technology. Listed here are some case studies by INDIAai that demonstrate the versatility in the applications of NLP.

• AI chatbot provides information on 1,400 public services in Maharashtra: The Government of Maharashtra, in partnership with Haptik (a conversational Al platform) announced in March 2019 a new AI-powered chatbot called “Aaple Sarkar Bot”. The chatbot provides information and helps with queries on healthcare, education, public utilities, rural development, revenue, and other public services. It can be accessed on the Aaple Sarkar Right to Services (RTS) website. The chatbot comprises a range of algorithms that gives the ability to process numerous queries every day such as analyzing, maintaining records and providing the user with the most useful information.
• AI voice assistant is improving teachers’ English proficiency: Tara, an AI and NLP-powered virtual voice teacher is uplifting teachers’ proficiency in communicative English. Teachers in semi-urban and rural schools have very limited exposure and experience in English, diluting the learning and comprehension of the students. Tara is a dynamic, two-way interactive, personalised teacher assistant by Learning Matters that works on Amazon’s Echo Dot, Google Home, and smartphones. Tara uses voice-assisted technology to incorporate the four critical components of language learning - listening, speaking, reading and writing (LSRW).
• AI enables cyber-harassment victims to promptly register complaint: Akancha Against Harassment (AAH), India's largest social impact initiative against cyber harassment, has deployed Haptik’s 24x7 chatbot helpline to enable victims to register a complaint of cyber-harassment and receive tips on combating harassment. The victims no longer have to write an email to get in touch with AAH. The bot helped resolve numerous cases of serious online threats and harassment (including 115 cases of rape & acid attack threats), eliminating human intervention to the extent of 90%. The bot has completed over 2,000 conversations (engagement with over 1000 unique users) through a simple and interactive user interface, drawing users even from Tier II cities. The analytics dashboard has helped identify call to action areas related to cyber-safety, with the multilingual capabilities enhancing its reach. 
• AI is improving accessibility to education with a personalised chatbot: Sutara Learning Foundation aims to improve accessibility to education through their solution called Chimple - a gamified, personalised and adaptive learning system. The core software is a chatbot which uses natural language processing to chat with the child. It offers games and activities to improve the child’s level, and the content of the game is selected based on the child’s level. 
• AI is being used to find the best applicant for a job by IBM: IBM India devised Watson Candidate Assistant (WCA), which is an AI-based solution to address challenges faced by the HR departments in talent acquisition. The candidates use the IBM job portal and start conversing with the WCA or type in queries. NLP is used to converse with the candidate. Once a candidate uploads his/her resume, the WCA understands the resume and reads it. The company has used machine learning in its solution to understand the language used in a candidate’s resume and relate to the relevance of skills and competencies related to the job requirement. IBM India's Watson Candidate Assistant (WCA) has sped up the hiring process by over 30 per cent.
• Using AI to help companies reach out to non-english speaking customers on mobile phones: Voxta’s solutions help companies target vernacular customers and give them better and cheaper customer service. They cut call centre costs on IVR for clients using virtual agents with speech recognition in Indian languages, and deliver a higher quality of customer service. The platform can be applied to provide information about hospital services, benefits, health, education advice, career advice, or environmental issues. This implies that they can get access to vital information in healthcare, government schemes, etc., and carry out transactions online such as paying gas bill using voice - in their own language - without being dependent on a third-party.
• ICICI Bank leveraging AI to augment customer service and support: ICICI bank uses an AI engine powered by machine learning, NLP and semantic analysis to help the bank's system to understand customers' query, process and solve the issue through bank's interface, and give them an instant reply.

Click here to read more case studies by INDIAai.

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