Golang (Fiber, Gin)
Python (Django, Flask, FastAPI)
Typescript (Express)
React (Vite, CRA), Next
Redux, Thunk, Saga
AWS, GCP
Docker, Kubernetes
Detection (anomaly, fraud, error monitoring), Classification
AI Chatbots / Virtual Assistant, Sentiment Analysis, Information Extraction, NER, Context QA, Open-domain QA
Image Classification, Object Detection, Object Segmentation and Tracking, Video Analytics
Applications:
Finding the right answer for a question from given context.
Context question-answering interfaces allow users to search new information and receive precise answers (in their own terms) instead of manually searching through a number of documents. In this way, users are not required to provide exact keywords or predefined-as-appropriate syntax, and can have faster access to the right information.
Prototype Demo of an AI Chatbot / Virtual Assistant
AI & Machine Learning application in Videos.
Multilingual sentiment analysis
Sentiment analysis allows businesses to identify customer sentiment toward products, brands or services in online conversations and feedback; gauge public opinion, conduct nuanced market research, monitor brand and product reputation, and understand customer experiences
This solution works with multiple languages, including but not limited to: English, German, French, Spanish, Polish, Russian etc.
Have a project? We have an eagle eye for the most effective, cost-efficient solution.