Description: FeedbackLens instantly analyzes user feedback with AI-powered sentiment detection, category classification, and actionable insights.

THE PROBLEM Product managers and teams drown in user feedback reviews, support tickets, survey responses with no quick way to understand what users actually feel. Manual analysis takes hours and misses patterns.

THE SOLUTION Paste any feedback → get instant analysis: • Sentiment: Positive / Negative / Neutral with confidence scores • Category: Bug Report, Feature Request, Praise, Complaint, Question • Score: 0-100 satisfaction rating • Keywords: Key topics and action items extracted

FEATURES • Dashboard with real-time charts (donut, bar graphs, stats) • AI analysis engine with sentiment + category detection • Export to CSV/JSON for reports and integration • Dark/Light theme toggle • Analysis history with search • Fully responsive design • Auto-save to localStorage

HOW I BUILT IT Built with pure vanilla JavaScript, CSS3 with custom properties for theming, and semantic HTML5. No React, no Vue, no build step. The AI analysis engine uses keyword-based sentiment detection and pattern matching — no external API calls, works entirely offline. Hosted on GitHub Pages.

WHAT I LEARNED That you don't need complex ML models to build useful text analysis. Smart keyword matching with weighted scoring delivers surprisingly accurate results. And shipping a working tool that anyone can use by clicking a link beats any demo. Novus.ai installed for product analytics and user behavior tracking. Tools: HTML, CSS, JavaScript, GitHub Pages, Novus.ai

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