Automatic Speech Recognition (ASR)

ASR utilizes state-of-the-art algorithms to analyze the acoustic properties of speech and convert spoken words into written text with remarkable accuracy.

rstand how each part of the AI tech stack functions.

Natural Language Processing (NLP)

NLP is used to understand and interpret human language. By analyzing transcribed text, NLP systems extract meaning and comprehend user intent. This allows for relevant and contextually appropriate responses.

Dialog Flow (DF)

Dialog flow is the specific flow of conversation and information iterations developed specifically for each client's requirements.

DF is mapped out and integrated into the AI system to manage the conversational flow enabling seamless interactions.

Text To Speech (TTS)

Responses are generated in the form of synthesized speech. The technology employs high-quality voice synthesis algorithms trained on extensive speech data. The result is natural and expressive voices that engage users in lifelike conversations.

Prompt Engineering (PE)

Prompt Engineering (Developing Precise Questions) ensures accurate responses relevant to conversational AI.

Prompts include the initial input queries from users into the system and Disruptor Prompts developed based on intermittent queries or responses from users during the dialog flow.

Integrated Components

Machine Learning (ML)

ML is a branch of artificial intelligence (AI) that focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Machine Learning Modules are developed to include user queries, ensuring that the system understands and responds appropriately.