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.

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

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

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

• 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

Preview

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.

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

npm install
# or
yarn install

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

GENKIT_API_KEY=your-gemini-api-key

npm run dev
# or
yarn dev

• 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

Created with ❤️ by Alfred Favour 📅 Schedule a chat

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

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