Iβm thrilled to share what Iβve been working on! π
Iβve been diving into a Kaggle dataset for language detection, which includes 17 different languages. After experimenting with several machine learning algorithms, Multinomial Naive Bayes came out on top, delivering an impressive 98% accuracy in identifying the correct language. πβ¨
π Explore LANGUAGE DETECTION SYSTEM:
Live Demo: https://lnkd.in/eTQvigBA
πΎππ©ππ π©ππ π«ππππ€ ππ€π§ π π¦πͺπππ π©π€πͺπ§! π₯π
Next up, Iβm planning to build a web application using Flask to make the model more accessible. The app will include a neat feature: if the input language isnβt one of the 17 in the dataset, it will display a custom message like βUnable to detect language.β Plus, Iβm adding a confidence level to show how certain the model is about its predictions. π‘
For the front-end, Iβll use HTML, CSS, and a bit of JavaScript to keep it simple, user-friendly, and responsive. I canβt wait to bring this idea to life and make language detection easier and more accessible for everyone! πβ¨
π α΄Κα΄ Κα΄α΄ ΙͺΙ΄α΄α΄ α΄ α΄α΄α΄ κ±α΄Ιͺα΄Ι΄α΄α΄, α΄Ι΄α΄ΚΚα΄Ιͺα΄κ±, α΄Κ α΄ Ιͺκ±α΄α΄ΚΙͺα΄’α΄α΄Ιͺα΄Ι΄? Κα΄α΄βκ± α΄α΄Ι΄Ι΄α΄α΄α΄βΙͺβα΄ Κα΄α΄ α΄ α΄α΄ α΄Κα΄α΄ α΄α΄Κα΄ α΄Κα΄α΄α΄ Ιͺα΄!
hashtag#MachineLearning hashtag#Flask hashtag#Kaggle hashtag#LanguageDetection hashtag#DataScience hashtag#WebDev hashtag#NaiveBayes
Top comments (0)