Vibe Check — Sentiment & Emotion Analyzer with Gemini + Genkit

Vibe Check is a modern web application that uses Gemini AI and Genkit to analyze and summarize the emotional tone of user-submitted text. Built with Next.js, Tailwind CSS, and TypeScript, it offers real-time sentiment scores, qualitative emotion summaries, and a sleek, user-first interface.

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✨ Features

🧠 AI-Driven Sentiment Analysis

• Accepts raw text input
• Classifies the sentiment as Positive, Neutral, or Negative
• Displays both a score and a qualitative label

📋 Text Input

• Simple textarea for user input
• Supports copy/paste functionality for quick testing or analysis

🎭 Emotion Summary

• Generates a short, AI-powered summary of the key emotions or tones using Gemini + Genkit

🎨 UI/UX Enhancements

• Clean sans-serif typography optimized for readability
• Minimalist icons representing emotion and sentiment
• Subtle animations for transitions and analysis feedback
• Responsive layout optimized for mobile and desktop

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🛠️ Tech Stack

Layer	Tech Used
UI	Next.js, Tailwind CSS, TypeScript
AI	Gemini (via Genkit)
Framework	Genkit (Google AI framework)
Design	Minimalist, accessible, animated

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📸 Preview

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🧪 How It Works

1. User types or pastes text into the input field.
2. On submit, the text is sent to Gemini via Genkit.
3. The system:
   • Classifies sentiment (Positive, Neutral, Negative)
   • Assigns a qualitative tag (e.g. "slightly negative")
   • Generates a brief summary of detected emotions or tone
4. The results are displayed using color, text, and icon indicators.

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🧰 Getting Started

1. Clone the Repo

git clone https://github.com/freddyfavour/Vibe-Check.git
cd Vibe-Check

2. Install Dependencies

npm install
# or
yarn install

3. Environment Setup

Create a .env.local file and add your Gemini API key:

GENKIT_API_KEY=your-gemini-api-key

4. Start Development Server

npm run dev
# or
yarn dev

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🧠 About the AI

• Gemini: A powerful multimodal AI model developed by Google for high-quality understanding and generation of text.
• Genkit: An open-source framework that simplifies calling AI models like Gemini and structuring generative logic in apps.

Learn more at https://ai.google.dev/gemini

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📬 Contact

Created with ❤️ by Alfred Favour 📅 Schedule a chat

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📝 License

MIT License — free to use, modify, and distribute.

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🙌 Acknowledgements

• Google AI Studio & Genkit
• Tailwind Labs
• Vercel & the Next.js team