Emotion Detection from Text using Machine Learning | Python Flask Project with Source Code 2026

MoodLens AI — koi bhi sentence paste karo, aur ye batayega us text ke peeche kaunsa emotion hai, confidence score ke saath. 😳😡😍 Ye ek complete Flask + scikit-learn Final Year Project hai jisme ek bonus "Transfer Lab" bhi hai — wo section jo aapke project ko baaki sabse alag banata hai. Examiner ne ye pehle kabhi nahi dekha hoga. 😉 🔗 GET THIS PROJECT (₹599 only): https://projects.codeaj.com/projects/... 📲 WhatsApp for instant help / custom requirements: +91 8603862290 https://wa.me/918603862290 ━━━━━━━━━━━━━━━━━━━━ 🧠 WHAT THIS PROJECT DOES ━━━━━━━━━━━━━━━━━━━━ You type a sentence → MoodLens predicts the emotion behind it (happiness, sadness, anger, fear, love, surprise, enthusiasm, fun, hate, neutral) with a confidence score for each class. Under the hood: TF-IDF vectorizer → Logistic Regression classifier, trained on labelled emotion text. No black-box magic — sab kuch aap viva me explain kar sakte ho. ━━━━━━━━━━━━━━━━━━━━ 🔬 THE TRANSFER LAB (USP) ━━━━━━━━━━━━━━━━━━━━ Ek emotion model jo tweets pe train hua hai, wo forum posts pe fail ho jata hai. Transfer Lab exactly yahi measure karta hai: ✅ Transfer Matrix — macro-F1 + accuracy for every train-domain / test-domain pair ✅ Vocabulary Overlap Analysis — WHY the accuracy drops ✅ Domain Gap Summary with plain-English interpretation ✅ Side-by-side comparison — ek sentence, teen alag-alag trained models, live disagreement ✅ CLI mode: python -m transfer.engine --train social --test forum (report screenshots ke liye perfect) Ye wo section hai jo simple emotion detector ko ek research-level project bana deta hai. ━━━━━━━━━━━━━━━━━━━━ ⚙️ TECH STACK ━━━━━━━━━━━━━━━━━━━━ Python | Flask | scikit-learn | NLTK | Chart.js 4 | Bootstrap 5 | Neomorphism (Soft UI) CSS3 ━━━━━━━━━━━━━━━━━━━━ ✨ KEY FEATURES ━━━━━━━━━━━━━━━━━━━━ Instant prediction — no page reload, /api/predict via fetch Chart.js confidence bars, fully themed Session-based prediction history + one-click clear Transfer matrix API serving cached artifacts (no retraining on load) Working contact form (kyunki examiner hamesha click karta hai 😄) Clean folder structure — app.py, prediction.py, models/, transfer/ Soft UI Neomorphism design — dekhne me genuinely premium ━━━━━━━━━━━━━━━━━━━━ 📦 WHAT YOU GET (₹599) ━━━━━━━━━━━━━━━━━━━━ ✔️ Complete Source Code (nothing hidden, no stripped demo version) ✔️ Installation Guide ✔️ Project Report & Documentation ✔️ Chat Support till setup ho jaye ━━━━━━━━━━━━━━━━━━━━ 🎯 ADD-ONS AVAILABLE ━━━━━━━━━━━━━━━━━━━━ Project Setup + Code Explanation (1-on-1 live session) — ₹999 Custom Project Report — ₹1,500 Custom Research Paper — ₹1,000 Custom PPT — ₹800 Project Modification — quote based on complexity ━━━━━━━━━━━━━━━━━━━━ 👨‍🎓 PERFECT FOR ━━━━━━━━━━━━━━━━━━━━ BCA • MCA • B.Tech • M.Tech • BSc IT • CS / IT / AI / Data Science students Final Year Project, Major Project, Semester Project, Internship Submission, Academic Demo ━━━━━━━━━━━━━━━━━━━━ ⏱️ TIMESTAMPS ━━━━━━━━━━━━━━━━━━━━ 00:00 – Intro 00:30 – Project Overview 01:15 – Live Emotion Prediction Demo 02:30 – Confidence Score Chart 03:15 – Prediction History 04:00 – Transfer Lab Walkthrough 05:30 – Transfer Matrix & Vocabulary Overlap 06:45 – Side-by-Side Model Comparison 07:30 – Folder Structure & Code Explanation 08:30 – How to Get This Project ━━━━━━━━━━━━━━━━━━━━ 📞 CONTACT US ━━━━━━━━━━━━━━━━━━━━ WhatsApp: +91 8603862290 → https://wa.me/918603862290 Telegram: https://t.me/codeajmarket Website: https://projects.codeaj.com Email: contact@codeaj.com Instagram:   / pythoncoding4u   LinkedIn:   / pythoncoding4u   ⭐ 5000+ Projects Delivered | 4.9★ Google Rating | 98% Success Rate 🔔 Subscribe kar lo — roz ek naya final year project idea + source code milega! ⚠️ Note: Project resell karna strictly prohibited hai. Terms violation par legal action liya jayega. #EmotionDetection #FinalYearProject #MachineLearning #PythonProject #FlaskProject #NLP #codeAj