“Your Mood. Your Story. Your Voice.”
KukuBot is an AI-powered, mood-aware storytelling assistant built as a proposed feature for Kuku FM.
It brings interactive, personalized storytelling experiences to life, adjusting to the user's mood, genre preference, and narrator voice — all with the magic of AI.
This project aims to elevate user engagement, boost retention, and create an emotional connect with listeners through immersive, voice-driven stories.
What if a story knew how you felt... and spoke to you exactly how you needed to hear it?
KukuBot allows users to:
- Pick a genre (Thriller, Romance, Motivational, Sci-Fi)
- Set their current mood
- Choose a narrator's voice
- And then, sit back while the AI generates a custom story just for them.
Designed to:
- Increase average session time
- Improve user loyalty
- Drive daily engagement
| 💡 Feature | 🎯 Description |
|---|---|
| 🎭 Genre Selection | Thriller, Romance, Sci-Fi, Motivational |
| 😊 Mood Detection | Mood-based storytelling: Happy, Sad, Energetic, Calm |
| 🗣️ Narrator Voice Choice | Deep (Male), Calm (Female), Fast (Neutral) |
| ⚡ Real-time Generation | (Mocked in prototype) One-click instant story |
| 🔊 Voice-Ready UI | Designed for future Text-to-Speech integration |
| ❤️ Favorite & Download | Save stories for offline listening (in roadmap) |
HTML,CSS,JavaScript- Hosted on GitHub Pages
- Generative AI APIs (OpenAI GPT / Claude / Gemini)
- TTS Engines (Google Cloud TTS / Amazon Polly)
- Kuku FM Personalization Engine
- Mood & preference-based content intelligence
kuku-ai-storyteller/
├── proposal/
│ └── KukuBot-Proposal.pdf # 📄 Proposed Documentation
├── index.html # 🎨 Fully Interactive UI Mockup
└── README.md # 📘 You're looking at it!- 🤖 AI-Powered Backend: Integrate with GPT-style APIs for dynamic story generation
- 🗣️ Voice Narration: Use TTS engines like Google Cloud TTS or Amazon Polly to bring stories to life
- ❤️ Favorites & Bookmarks: Allow users to save, download, and organize their favorite stories
- 🎚️ Narrator Personalization: Customize voices based on user behavior and listening habits
- 🔔 Mood-Based Notifications: Smart push alerts based on emotional trends and preferences
- 📊 Mood Analytics: Track and analyze mood data to fine-tune story recommendations
- ⬇️ Offline Listening: Enable offline mode for seamless storytelling without internet
| 📊 Metric | 🎯 Goal / Impact |
|---|---|
| ⏱️ Average Session Time | Increase by 30–40% through engaging, longer stories |
| 🔁 Frequency of Visits | Improve daily open rates via personalization & mood |
| ❤️ User Retention | Boost week-over-week active users |
| 🎧 Story Completion Rate | Increase completed listens per session |
| 🌟 Feature Adoption | Achieve high opt-in rate for interactive stories |
| 🧩 Challenge | 💡 Proposed Solution |
|---|---|
| ⏳ Real-Time Generation Delay | Use prompt optimization + story caching |
| 🧬 Voice Personalization Complexity | Offer pre-trained profiles & leverage advanced TTS APIs |
| 🔐 Data Privacy Concerns | Use on-device personalization with anonymized analytics |
| 🌐 Connectivity for Audio Delivery | Enable offline downloads + audio compression techniques |
| 📱 UI Scalability Across Devices | Responsive UI built with adaptive layouts and fallback UX |
Tejeswara Reddy Annapureddy
📧 tejeswarreddy134@gmail.com
🔗 GitHub Profile
- 💼 Kuku FM Team – for giving the opportunity and inspiration to build this feature prototype
- 🧠 OpenAI & Google Cloud – for the powerful tools that fuel creativity and voice synthesis
- 👥 All creators, dreamers, and listeners – who believe that stories can shape the world
This project is not officially licensed and was developed as part of a creative task assigned by Kuku FM
It is a conceptual prototype built solely for demonstration purposes.