Team
Cheeko
This team is at maximum capacity.
Project Concept
Cheeko is a real-time voice AI assistant designed specifically for children, running on ESP32 IoT devices. It combines cutting-edge AI technology with child-friendly interactions to create an engaging, educational, and safe conversational experience.
Key Features:
- Real-time Voice Conversations - Ultra-fast responses powered by Groq’s LPU inference engine running ChatGPT OSS 20B, with ElevenLabs for natural voice synthesis
- Personalized Experience - Adapts conversations based on child profiles (name, age, interests, language preferences)
- High-Quality Voice - ElevenLabs STT for accurate speech recognition and TTS for natural, expressive voice output
- Interactive Activities - Built-in games, music playback, story telling, riddles, and educational quizzes
- Memory & Context - Remembers past conversations using Mem0 for continuity across sessions
- IoT Integration - Connects to ESP32 hardware via MQTT for LED feedback and device control
- Usage Analytics - Tracks token usage for cost monitoring and session analytics
- Google Search Grounding - Real-time access to current information for answering questions
Tech Stack:
- LLM: Groq (ChatGPT OSS 20B) - ultra-low latency inference
- STT: ElevenLabs Speech-to-Text
- TTS: ElevenLabs Text-to-Speech
- Orchestration: LiveKit Agents SDK
- Backend: Python, FastAPI, MQTT Gateway
- Hardware: ESP32 microcontrollers
- Infrastructure: LiveKit (WebRTC), Docker
- Memory: Mem0 for conversation persistence
- Observability: Datadog, Loki logging
Entry
Status: Not Started
Team Roster (team is at max capacity)
Message board not available for this team yet.
Abilash S Team Lead RSVP Approved
Co-Founder and CTO at Altio AI Private Limited
Abilash S is the Co-Founder and CTO at Altio AI Private Limited, and also serves as Co-Founder/Entrepreneur at CheekoAI. With over 10 years of experience, Abilash holds a Bachelor of Engineering in Telecommunications Engineering from RV College Of Engineering and a Diploma in Electrical from Government Polytechnic Tumkur. Based in Bengaluru, Karnataka, India, Abilash is currently employed, seeking mentors/advisors, and seeking investors.
Mentors/Advisors, Investors, AI-powered toys, AI/ML product integration, Embedded/IoT, Event technology, Real-time systems.
CheekoAI: Building AI-powered toys involving AI/ML product integration and embedded/IoT systems. Craftech360: Developing event technology, including AR activations and real-time event management tools, utilizing cloud services.
KARTHIKEYA REDDY RSVP Approved
Jr Backend Developer at Altio AI
Karthikeya Reddy is a Jr Backend Developer at Altio AI.
no projects mentioned
Abraham Sajan RSVP Waitlisted
Solutions Engineer at CFT360 Design Studio Private Limited
I'm Abraham, a Software Developer and Solutions Engineer with a strong focus on building scalable, user-centric products. I work across the full technology stack, solving complex technical challenges and delivering high-quality solutions that align with business goals.
My experience spans backend development, API integrations, cloud services, and mobile technologies, along with hands-on involvement in product areas such as privacy, security, and app ecosystems. I enjoy transforming ideas into reliable, well-engineered systems and collaborating with cross-functional teams to bring impactful digital products to life.
I'm always exploring new technologies and engineering practices to continuously improve my craft and deliver better solutions.
Mobile App Development
Working on an AI Toy for kids called CheekoAI
Kayalvizhi T RSVP Approved
Data Scientist at Pinhead Analytics
I am an AI engineer passionate about building agentic systems that transform complex, domain-heavy workflows into intuitive, intelligent products. I work end-to-end—from model design and orchestration to full-stack integration—focusing on transparency, reliability, and real-world usability. Much of my experience has centered around financial analytics and enterprise data processes, where I’ve designed rule-based learning models, multi-microservice LLM architectures, and reconciliation platforms that shorten operational cycles dramatically. I enjoy solving ambiguous problems, rapidly prototyping, and collaborating with teams that value deep thinking, experimentation, and execution.
I am primarily interested in:
Agentic AI Pipeline Design
Architecting end-to-end pipelines where LLMs reason, plan, and interact with tools, APIs, and data services to complete multi-step tasks reliably.
Model Building & Applied ML
Designing, training, or engineering models with clear real-world purpose—rule-based systems, anomaly detection, retrieval-augmented models, or domain-grounded ML for decision workflows.