Elevating Avro Bangla Keyboard to Lead the Banglish Typing Market

[moeenuddinbhuiyan]

Hello Avro Bangla Keyboard Team,

I’m writing to share some detailed feedback that outlines both the challenges and actionable solutions for enhancing Avro Bangla Keyboard—especially for Banglish typing. As someone who frequently uses typing tools, I’ve noticed a key issue and see a clear path for improvement.

The Problem:
Currently, Avro Bangla Keyboard handles typing errors in a rather rigid way. When mistyping Banglish words, it lacks the intelligent context-aware corrections that tools like Google Input Tool and Gboard offer. These tools can analyze the context of a sentence to accurately suggest the intended Bangla word, even when the input isn’t perfect. This absence of smart, forgiving error correction can interrupt the fluidity of typing and ultimately affect the user experience.

Proposed Solutions:
To overcome these challenges and secure our position as the best in Banglish typing, I propose an AI-driven approach with the following steps:

• AI-Driven Contextual Prediction:
  Develop and integrate machine learning models that analyze the context of entire sentences in real time. By training these models on large datasets of Bangla and Banglish text, Avro can predict the intended words even when mistakes are made. This approach ensures a smoother and more intuitive typing experience.

• Enhanced Fuzzy Matching:
  Implement AI-enhanced fuzzy matching algorithms to recognize near-matches and common typographical errors. This will enable the tool to offer corrections similar to what Google Input Tool provides, making the system more robust against mistyping.

• Adaptive User Feedback Loop:
  Introduce a mechanism where the keyboard learns from user corrections over time. By incorporating reinforcement learning or similar techniques, the suggestion engine can continuously improve, becoming increasingly tailored to real-world typing habits.

• On-Device AI Integration:
  Utilize lightweight, pre-trained language models fine-tuned on Bangla and Banglish data. These models should run efficiently on user devices, ensuring that corrections and suggestions occur in real time without causing lag.

By implementing these AI-powered enhancements, we can address the current limitations head-on and establish Avro as the market leader in Banglish typing. When we enter the typing market, our goal should be to offer the most intuitive and accurate tool available—one that truly understands and adapts to user input.

Thank you for your ongoing commitment to improving Bangla typing tools. I’m confident that these suggestions will not only resolve current issues but also set a new standard for excellence in our market.

Best regards,
Moeen Uddin Bhuiyan