Advanced Auto-Correct/Suggestion Engine with User-Specific Dictionaries and Intelligent Assistant Capabilities |
Author(s): |
| Vishwas Sharma , Maharaja Agrasen Institute of Technology, New Delhi |
Keywords: |
| Autocorrect, Autosuggestion, Personalized Typing, User-Specific Dictionary, Natural Language Processing (NLP), Intelligent Assistant, Commitment Detection, Mobile Text Input, Predictive Text, Local Processing, Privacy-Preserving AI |
Abstract |
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Typing on mobile devices can be a real headache, often leading to a bunch of errors thanks to those tiny keyboards, a lack of personalised autocorrect, and clunky predictive text. The current solutions out there tend to offer generic suggestions that just don't fit individual users' styles, which can be super frustrating and inefficient. Plus, it's all too easy to forget commitments mentioned in messages. That's where this project comes in! We're introducing a cutting-edge autosuggestion and autocorrect engine that uses a personalised dictionary and smart assistant features to boost typing accuracy and improve the overall user experience. This system learns and adapts to your unique typing habits while keeping your data private through local processing. On top of that, it includes an intelligent assistant that picks up on commitments in your messages and sends you timely reminders. Designed specifically for mobile platforms, it ensures real-time performance with minimal lag and smart resource management. By striking the right balance between accuracy and efficiency, this system is set to transform mobile typing assistance, providing a level of hyper-personalised support that goes way beyond traditional autocorrect tools. |
Other Details |
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Paper ID: IJSRDV13I20202 Published in: Volume : 13, Issue : 2 Publication Date: 01/05/2025 Page(s): 276-280 |
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