I will build an ai and iot solution with raspberry pi

A
adamlvandy
A
adamlvandy
Adam Elvandi
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Über diesen Service

I build AI systems that run in the real world, on real hardware, not just in a notebook.


My thesis project, SIKEMBANG AI, is a hybrid Machine Learning (Random Forest) and Deep Learning (YOLOv11n) system for early stunting detection, running on a Raspberry Pi 5 with a camera and thermal printer. It reached over 94 percent accuracy and is actively deployed across 17 community health posts in Jakarta, Indonesia.


What I can build for you:


Computer vision applications using YOLO and similar object detection models

Edge AI deployment on Raspberry Pi

Hybrid ML and DL pipelines (combining classic machine learning with deep learning)

IoT integration: sensors, cameras, GPS, and real time data pipelines

Connecting AI models to a web dashboard or WhatsApp notifications

Dataset annotation and preprocessing with Pandas and Roboflow


Message me with your use case and the hardware you plan to use (or ask me to recommend one) before ordering.

Lerne Adam Elvandi kennen

Adam Elvandi

Full Stack Software Engineer and System Architect, SaaS and Platform Builder

  • AusIndonesien
  • Mitglied seitMärz 2023
  • ⌀ Antwortzeit4 Stunden
  • Sprachen

    Indonesisch, Englisch
Hi, I'm Adam, a Full-Stack Software Engineer and System Architect with 4+ years building production systems for government, NGO, and international clients. I built Jastiper, a multi-tenant SaaS platform, from database to deployment (789 commits, 157 tests), SIKEMBANG AI, a machine learning system with 94%+ accuracy in 17 health posts, and a QR check-in system for 1000+ participants in Tokyo with zero failures. Stack: PHP, Laravel, Node.js, Next.js, React, MySQL, Docker, Python, Machine Learning. I focus on clean code, performance, and timely delivery from MVPs to enterprise launches.

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