You will get AI-Powered Dental Caries Detection & Analysis System
Project details
We deliver specialized, medical-grade computer vision solutions integrated with a premium dental clinic website. What sets this project apart is our end-to-end delivery: we don't just train a raw AI model, we seamlessly build its custom front-facing clinic website and dashboard from scratch. Your clinic receives a turnkey, custom-branded web platform tailored specifically for diagnostic X-ray analysis (Bitewing, Panoramic, and Periapical). By combining advanced Python backends with aesthetic, modern web interfaces and secure Linux VPS cloud deployment, we ensure that your software and website operate as a single premium product. Work with a dedicated AI specialist focused on global standards, professional web design, and scalable infrastructure.
Machine Learning Tools
Keras, MATLAB, NLTK, NumPy, OpenCV, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$300
|
Standard
$800
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 4 days | 14 days | 25 days |
Number of Revisions | 0 | 3 | Unlimited |
Number of Model Variations | 1 | 3 | 3 |
Number of Scenarios | 2 | 6 | 7 |
Number of Graphs/Charts | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - | - | - |
Frequently asked questions
About Hacer
Full Stack AI Developer
Istanbul, Turkey - 2:30 am local time
Steps for completing your project
After purchasing the project, send requirements so Hacer can start the project.
Delivery time starts when Hacer receives requirements from you.
Hacer works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Architecture Planning
We align on your exact clinical goals, evaluate the dental X-ray data structures, and map out the complete AI model pipeline and system architecture.
Dataset Engineering & AI Training
We preprocess, filter, and annotate the dental images, then train the YOLO computer vision model to achieve maximum diagnostic accuracy