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Developed a responsive web application to analyze customer sentiment from single reviews or bulk uploads with real-time keyword-based explanations and dynamic frontend feedback

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🧠 Sentiment Analyzer Web App

Developed a responsive web application to analyze customer sentiment from single reviews or bulk uploads with real-time keyword-based explanations and dynamic frontend feedback


πŸš€ Features

  • πŸ” Single Review Analysis
  • πŸ“‚ Bulk CSV Review Upload
  • 🧠 Explain Sentiment with Keyword Extraction
  • πŸ’‘ Fast and lightweight architecture using Flask and Next.js
  • 🎨 Clean, responsive UI with Tailwind CSS

πŸ› οΈ Tech Stack

πŸ”§ Frontend

  • Framework: Next.js
  • Styling: Tailwind CSS
  • Language: JavaScript (ES6+)

βš™οΈ Backend

  • Framework: Flask
  • Language: Python 3
  • Sentiment Library: TextBlob (or LSTM for deep learning-based sentiment)
  • CORS Handling: Flask-CORS

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Developed a responsive web application to analyze customer sentiment from single reviews or bulk uploads with real-time keyword-based explanations and dynamic frontend feedback

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