Microcomputer Development for AI Robot
Budget: ₹1,500 – ₹12,500 INR
Project Overview:
I’m looking to develop a custom single-board microcomputer (like Raspberry Pi) but more powerful — capable of running 7B parameter LLMs locally, handling real-time audio I/O, and integrating easily into my AI humanoid robot.
The goal is to create a portable, network-independent AI core, fully programmable (like Raspberry Pi), but optimized for offline AI processing.
Core Requirements:
Design a custom microcomputer board (SBC) with:
High-performance CPU/GPU or NPU (ARM or x86)
Min 16–32GB RAM (for LLM inference)
SSD or eMMC support (storage for LLMs)
USB, GPIO, audio I/O, camera interface (for robot integration)
Wi-Fi & Bluetooth (optional)
Should support Python, C++, etc. just like Raspberry Pi
Must be capable of running 7B parameter LLMs using:
GGUF (for Llama.cpp-based models)
Or ONNX/TensorRT/NPU acceleration if needed
Should be compact enough to fit in a humanoid robot chassis
Ideal Use Case:
Run LLM models (e.g., Mistral, Phi, LLaMA) offline
Process voice input and generate local responses
Control motors/sensors via GPIO
Interact with camera and microphone in real time
Deliverables:
Fully designed and tested custom SBC (PCB + BOM)
OS image or software stack pre-configured (Linux-based preferred)
Documentation for:
Setup
Coding (Python, C++)
Integrating LLM models
Wiring and component use (like Raspberry Pi tutorials)
Guidance or sourcing for prototype manufacturing
Long-term collaboration available (robot hardware + software)
Paid prototyping/testing phase included
To Apply:
Please send:
Your experience with custom SBC/hardware design
Relevant portfolio or prototypes
Suggestions for chipsets or architecture you would use
I’m looking to develop a custom single-board microcomputer (like Raspberry Pi) but more powerful — capable of running 7B parameter LLMs locally, handling real-time audio I/O, and integrating easily into my AI humanoid robot.
The goal is to create a portable, network-independent AI core, fully programmable (like Raspberry Pi), but optimized for offline AI processing.
Core Requirements:
Design a custom microcomputer board (SBC) with:
High-performance CPU/GPU or NPU (ARM or x86)
Min 16–32GB RAM (for LLM inference)
SSD or eMMC support (storage for LLMs)
USB, GPIO, audio I/O, camera interface (for robot integration)
Wi-Fi & Bluetooth (optional)
Should support Python, C++, etc. just like Raspberry Pi
Must be capable of running 7B parameter LLMs using:
GGUF (for Llama.cpp-based models)
Or ONNX/TensorRT/NPU acceleration if needed
Should be compact enough to fit in a humanoid robot chassis
Ideal Use Case:
Run LLM models (e.g., Mistral, Phi, LLaMA) offline
Process voice input and generate local responses
Control motors/sensors via GPIO
Interact with camera and microphone in real time
Deliverables:
Fully designed and tested custom SBC (PCB + BOM)
OS image or software stack pre-configured (Linux-based preferred)
Documentation for:
Setup
Coding (Python, C++)
Integrating LLM models
Wiring and component use (like Raspberry Pi tutorials)
Guidance or sourcing for prototype manufacturing
Long-term collaboration available (robot hardware + software)
Paid prototyping/testing phase included
To Apply:
Please send:
Your experience with custom SBC/hardware design
Relevant portfolio or prototypes
Suggestions for chipsets or architecture you would use