Скачать или смотреть Brand Monitoring using Multilingual AI | Sentiment Analysis Final Year Project – FAST University

Project Title: Brand Monitoring
Developed by: Imad Ahmed, Muhammad Huzan, Ahmad Touseef
Supervised by: Fraz Yousaf (Senior Lecturer, FAST-NUCES)

📌 Project Overview:
This project presents a multilingual brand monitoring system that combines Artificial Intelligence (AI) and Natural Language Processing (NLP) to analyze public sentiment across various platforms and languages. It bridges the gap in current systems that primarily support high-resource languages by incorporating a translation API, enabling accurate sentiment analysis for low-resource linguistic communities as well.

🔍 Key Features:

Multilingual Sentiment Analysis using deep learning (joy, surprise, fear, anger, love, sadness)

Web Crawler for data extraction (e.g., from YouTube)

Translation Integration to convert input from any language to English

Custom NLP Pipeline for preprocessing

Real-time Dashboard to visualize insights for brand perception

Emotion Classification beyond binary sentiment

💡 This project aims to help brands track public opinion, respond to feedback effectively, and strategize marketing campaigns across diverse linguistic audiences.

🎓 University: FAST National University of Computer and Emerging Sciences
📅 Year: 2025 (Final Year Project)
🔗 Connect with the developers for collaboration or job opportunities!

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