Budding creators on platforms like YouTube, Instagram Reels, TikTok, etc., struggle with end-to-end content optimization — branding, SEO, design, trend analysis, and audience engagement. They waste hours on non-creative tasks instead of focusing on storytelling and content quality.
KreatorKit is an all-in-one AI-powered web platform designed to supercharge video content and community engagement. The suite uses LLMs, GenAI, Computer Vision, and NLP to automate and optimize every stage of the content pipeline.
- Suggests trending and genre-specific background music based on video transcript analysis and audio mood extraction.
- Aligns with viral trends and enhances viewer engagement.
- Scores uploaded thumbnails based on a custom-trained model using data from top YouTube channels.
- Provides actionable improvement suggestions to increase click-through rate and views.
- Fine-tuned GPT-2 model generates high-quality, context-specific transcript suggestions based on video title and category.
- Helps creators improve video scripts and maintain audience retention.
- Advanced video and channel analytics.
- Automated video optimization workflows.
- AI-generated thumbnail creator.
- Deep audience sentiment analysis and engagement forecasting.
- Frontend: React (Next.js), Tailwind CSS.
- Backend: Flask / FastAPI.
- ML & CV: PyTorch, OpenCV, Hugging Face Transformers.
- Storage: MongoDB Atlas, AWS S3.
- Deployment: Vercel (frontend), Render or Hugging Face Spaces (backend).
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Clone the repo.
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Install dependencies:
pip install -r requirements.txt
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Run backend server:
python app.py
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Access the frontend and start exploring your personalized content optimization dashboard!
We welcome contributions to help shape the future of AI-driven creator tools! Please open issues, submit PRs, or suggest new features.
This project is licensed under the MIT License.
🎯 Empower your content, engage your community, and grow your brand with KreatorKit.