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AI

ML

Data Analytics

NLP

CX

Leveraging AI & ML for Next Gen Voice Assistance Experience

Our multilingual voice assistant represents a significant advancement, offering inclusivity and versatility in natural language interactions. Prioritizing linguistic diversity, it empowers users across different backgrounds, enhancing digital experiences.

Client

HISHAB

Overview & Scope

We gathered over 10,000 hours of speech data, focusing on various accents and dialects, particularly in Bangla. State-of-the-art machine learning techniques, including deep learning with CNNs and RNNs, were employed for speech recognition. NLU models enabled accurate comprehension of user intents. Rigorous testing ensured functionality and accuracy.

Overview & Scope

We gathered over 10,000 hours of speech data, focusing on various accents and dialects, particularly in Bangla. State-of-the-art machine learning techniques, including deep learning with CNNs and RNNs, were employed for speech recognition. NLU models enabled accurate comprehension of user intents. Rigorous testing ensured functionality and accuracy.

Results

A Next Gen AI voice assistant that effortlessly transitions between English and Bangla, adeptly understanding native Bangla dialects and accents. Through adaptive learning, it enhances performance based on user interactions, ensuring a seamless experience. Additionally, it recognizes and responds to users of all genders and ages, championing inclusivity across diverse demographics.

We utilized deep learning with CNNs and RNNs for speech recognition, and cloud computing platforms for efficient processing. Rigorous testing procedures ensured accuracy and robustness.

Comprising skilled professionals in ML, NLP, and software development, our team collaborated closely to achieve project objectives.

AI Development

Our team handle customized, intelligent solutions.

ML Development

Leverage deep learning, to create responsive solutions naturally.

Custom Software Development

End-to-end development of web and mobile applications.

Data Analytics

Build and train models with sensitive data for business insight.

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