I will build an ai and iot solution with raspberry pi


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
Full Stack Software Engineer and System Architect, SaaS and Platform Builder
- AusIndonesien
- Mitglied seitMärz 2023
- ⌀ Antwortzeit4 Stunden
Sprachen
Indonesisch, Englisch
Mein Portfolio
FAQ
Do I need to provide the hardware?
Yes for physical deployment (such as Raspberry Pi and a camera). I can guide you on what to buy, or we can do a software only version first.
Do I need to provide a dataset?
Ideally yes. If you do not have one, I can help you find or generate a suitable public dataset, this may affect timeline and price.
What accuracy can I expect?
It depends on your data quality and use case. I will give you an honest estimate after reviewing your requirements, not before.

