AI & ML Solutions
Artificial Intelligence (AI) & Machine Learning (ML) present a new level of cognition for human – smart device functionalities. While AI is the umbrella term for replicating human abilities, ML is a specific segment of AI which teaches a device how to learn. Such AI ML applications can be instrumental in providing state-of-the-art customer experiences, or streamlining internal processes. So, could your business benefit from AI machine learning automation?
- AI Model Development
- Large Language Models
- Computer Vision
- Machine Learning
- Chatbots Agents
- Generative AI
Digital Fractal AI and ML
Our team has been pioneering AI Learning projects for over 10 years. We are proficient in developing and deploying the latest algorithms using novel computer vision, machine learning, natural language processing and artificial intelligence mediums. Our digital transformation solutions have been integrated into a variety of real-world applications including health technology, agriculture, sports, augmented reality, security systems, and other industries. Some of the AI & ML services we offer include:
- Data Engineering: data pipelines, transformations, data integrity, data cleansing, data tuning, ETL (extract, transform, load)
- Data Analytics & Machine Learning: feature engineering, deep learning, data processing, machine learning, model training and evaluation, artificial Intelligence, computer vision, predictive models, and dashboards.
Artificial Intelligence / Machine Learning Use Cases:
Our team has been pioneering AI Learning projects for over 10 years. We are proficient in developing and deploying the latest algorithms using novel computer vision, machine learning, natural language processing and artificial intelligence mediums. Our digital transformation solutions have been integrated into a variety of real-world applications including health technology, agriculture, sports, augmented reality, security systems, and other industries. Some of the AI & ML services we offer include:
- Data Engineering: data pipelines, transformations, data integrity, data cleansing, data tuning, ETL (extract, transform, load)
- Data Analytics & Machine Learning: feature engineering, deep learning, data processing, machine learning, model training and evaluation, artificial Intelligence, computer vision, predictive models, and dashboards.
Past Projects
- Fire and Smoke detection through computer vision and machine learning
- Crowd measurements and crowd action detection (object tracking)
- Natural language processing using Open AI for chatbot development
- Text recognition from photos (semantic classification)
- Product counting and categorization through mobile phones
- Airborne image captures and categorization (image classification)
- Detection of skin disease from photographs
- Categorization of beef quality through photos (AAA beef)
The process
01
Problem identification
Define Problem
02
Exploratory Analysis
Internal Analysis
03
Data Collection
Collect available data
04
Model Development
Create Data Models and Train base on data
05
Integrate Solution
Integrate output with Systems