We deliver high-quality and scalable models for Document Processing, Sentiment Analysis, and Conversational AI to accurately and efficiently process natural language data.
Anti-Money Laundering Detection From Transaction Data
The goal of this project was to develop an anti-money laundering system that could flag suspicious transactions based on peer group analysis. The system monitored historical data and applied rules against peer groups to identify potential money laundering activities. The stack used for this project included Python, Scikit-Learn, and SQL.
A Machine Learning system that could predict the flavour of any food item and make recommendations for food and beverage pairings. The goal was to digitize and predict flavour using the flavour profiles of ingredients, recipes, and titles.
Leading technology consulting company that specializes in artificial intelligence, machine learning, and natural language processing. With the increasing demand for skilled professionals in the technology sector, They wanted to automate their recruitment process and leverage cutting-edge NLP techniques to identify and approach potential candidates from publicly available data sources.
Contract analysis involves the review and extraction of critical information from thousands of unique documents, a process that is prone to manual errors and is incredibly time-consuming. The analysis of contracts is an essential process for businesses and organizations, but it is often a time-consuming and error-prone task when performed manually. The process of manually analyzing contracts involves a significant amount of time and effort to extract relevant information accurately and efficiently.