LANGUAGE DETECTION SYSTEM

I’m thrilled to share what I’ve been working on! 🚀

I’ve 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. 📊✨

🔗 Explore LANGUAGE DETECTION SYSTEM:
Live Demo: https://lnkd.in/eTQvigBA

𝘾𝙖𝙩𝙘𝙝 𝙩𝙝𝙚 𝙫𝙞𝙙𝙚𝙤 𝙛𝙤𝙧 𝙖 𝙦𝙪𝙞𝙘𝙠 𝙩𝙤𝙪𝙧! 🎥👇

Next up, I’m 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 isn’t one of the 17 in the dataset, it will display a custom message like “Unable to detect language.” Plus, I’m adding a confidence level to show how certain the model is about its predictions. 💡

For the front-end, I’ll use HTML, CSS, and a bit of JavaScript to keep it simple, user-friendly, and responsive. I can’t wait to bring this idea to life and make language detection easier and more accessible for everyone! 🌍✨

📌 ᴀʀᴇ ʏᴏᴜ ɪɴᴛᴏ ᴅᴀᴛᴀ ꜱᴄɪᴇɴᴄᴇ, ᴀɴᴀʟʏᴛɪᴄꜱ, ᴏʀ ᴠɪꜱᴜᴀʟɪᴢᴀᴛɪᴏɴ? ʟᴇᴛ’ꜱ ᴄᴏɴɴᴇᴄᴛ—ɪ’ᴅ ʟᴏᴠᴇ ᴛᴏ ᴄʜᴀᴛ ᴍᴏʀᴇ ᴀʙᴏᴜᴛ ɪᴛ!

hashtag#MachineLearning hashtag#Flask hashtag#Kaggle hashtag#LanguageDetection hashtag#DataScience hashtag#WebDev hashtag#NaiveBayes