Parakram AI
The Ultimate Firmware Engine.
Generates production-grade C++ from natural language. 100% Offline.
THE PARAKRAM ADVANTAGE
void loop() {
// Manual I2C Read (Blocking)
Wire.beginTransmission(MPU);
Wire.write(0x3B);
Wire.endTransmission(false);
// CPU hangs here waiting!
Wire.requestFrom(MPU, 6);
int16_t x = Wire.read()<<8 | Wire.read();
// Fragile String parsing
String data = "X:" + String(x);
delay(100);
}// Generated in 200ms
void loop() {
// DMA-backed non-blocking I/O
if (sensor.dataReady()) {
auto vibration = sensor.getFFT();
if (vibration.peak > DANGER_LIMIT) {
aws.publish("alert/motor_1", vibration.json());
// Non-blocking Architecture
}
}
}On-Device Inference
Direct integration with Ollama Llama 3 for secure, latency-free code generation on your local machine.
Arduino +
PlatformIO
Export directly to .ino sketches or production-ready PlatformIO projects.
Supported Hardware
Optimized for industry-standard MCUs. No vendor lock-in.
Cost-Efficient Offline Inference
Eliminate API costs. Parakram runs 100% offline using quantized models (Llama 3, Mistral) on your machine.
Multi-Core
ESP32-S3 / STM32H7 Dual-Core targeting.
GENERATE YOUR BLUEPRINT
Don't waste days on CMakeLists.txt. Select your stack, and Parakram instantly resolves
drivers, RTOS glue code, and compiler flags for a production-ready start.
System Configuration
[package]
name = "firmware_v1"
version = "0.1.0"
edition = "2021"
[dependencies]
esp-backtrace = { version = "0.11", features = ["esp32s3", "exception-handler"] }
esp-println = { version = "0.9", features = ["esp32s3", "log"] }
embassy-executor = { version = "0.5", features = ["task-arena-size-12288"] }
embedded-graphics = "0.8.1"