Data Driven Artificial Intelligence Company

whiteDigital

Technologies used in AI & ML at whiteDigital

For face model training and detection we use the principle of David Sandberg’s Facenet along with our own research.

LFW, Asian Faces and Custom datasets are used for training the model architecture.

For NLP we use BERT (Bidirectional Encoder Representations from Transformers) by Google researchers, GPT-2 trained on larger data sets such as Wikipedia, IMDB and custom datasets.

Mask R-CNN is implemented for custom object detection trained on our own datasets along with Resnet, Imagenet etc.

Some of the significant libraries we use are Keras, Numpy, Scikit Learn, Matplotlib, … For collaboration & deployment we use Google Cloud, Colab, Github, Flask and AWS.

Python

Tensorflow

Keras

Scikit-learn

ML.net

Pytorch

Flask

Pandas

OpenCV

SQL Server

SQL Lite

AI & ML Use Cases

robo

online exam proctoring

Online Exam Proctoring with AI, Face Recognition, Validation

face-detection

Remote Staff Monitoring using Face Detection, Recognition

Staff-movement

Attendance and Movement of Staff Face Detection, Recognition

question

Generate Question Answers from Custom Datasets

datasets

Generate Matching Content, Summary from Custom Datasets

AI & ML SERVICES

Data-Mining-Services

Data Mining Services

Data-Analysis

Data Analysis Services

Data-Preprocessing

Data Preprocessing Services

Data-labeling

Data labeling & Annotation Services

Custom-Data

Build Custom Data Sets

Model-Architecture

Model Architecture

Training&Testing

Model Training & Testing Services

Model-Deployment

Model Deployment Services

coding

Why whiteDigital for AI & ML ?

We work with startups, small, medium and big companies starting jobs from 10 hours to 1000’s of hours. You can always try us with pilot projects.

Your business model/data is secure. When we collect data for you, it is only for you. When we train a model for you it is exclusive for you. We promise what we deliver. No Hype No Fluff.

Let’s Talk AI