Chatbot optimization for college student questions with LLM

Chatbot optimization for college student questions with LLM The Challenge To design a scalable retrieval bot capable of efficiently answering a wide range of student questions from a database. It involved training custom models to ensure high accuracy and relevance, while also managing the complexities of deployment on AWS SageMaker. Ensuring the system could handle […]

Invoice to Contract Reconciliation optimization using Vision, NLP and RAG

Invoice to Contract Reconciliation optimization using Vision, NLP and RAG The Challenge An organization requested a solution to process physical copies of invoice documents containing diverse content and structures. The objective is to extract text from these invoices and identify various elements, such as names or tags for entities, amounts, and other details related to […]

Digital Document Processing using Vision and NLP

Digital Document Processing using Vision and NLP The Challenge An American corporation, specializing in the sale of printing hardware and digital document products and services in over 160 countries, aims to develop comprehensive Intelligent Document Processing (IDP) solutions as microservices. The primary challenge involves the automatic identification of document types and the structured extraction of […]

Country Financial investment selection using LLM based SQL Generation and RAG

Country Financial investment selection using LLM based SQL Generation and RAG The Challenge A financial research platform sought to develop a solution for processing large-scale financial reports and economic documents to forecast various country specific macro economic factors, along with conducting sentiment analysis on the forecasts. Additionally, they required the development of a chatbot capable […]

NLP based Market Analysis and Matchmaking between Suppliers and Government Demand

NLP based Market Analysis using ML and Data Analytics The Challenge A US-based organization is developing a platform for federal government supply and demand market analysis, aimed at streamlining the procurement recommendation process. The platform is designed to meet the diverse expectations of stakeholders such as government procurers, government primes and venture capitalists (VCs), while […]

Candidate Ranking optimization leveraging Candidate Resume and Job Description using Neural Networks

Candidate Ranking optimization leveraging Candidate Resume and Job Description using Neural Networks The Challenge In 2021-22, an HRTech client sought a recruitment assistance solution designed to parse resumes, rank candidates according to job descriptions, and extract key insights from interview transcripts. Tatras delivered a comprehensive backend solution addressing all these needs, utilizing classical Computer Vision, […]

Video Analysis for Logo Analysis using Deep Learning based Vision Models

Video Analysis for Logo Analysis using Deep Learning based Vision Models The Challenge Our client, a startup in the space of sports analytics, wanted to build a tool to provide quantitative feedback to marketers on the exposure they receive in return for their marketing spend at sporting events and its associated Video coverage. They also […]

Deep Learning to count manufacturing throughput using video analysis

Deep Learning to count manufacturing throughput using video analysis The Challenge Our client, a large towel manufacturing company needs to optimise throughput from their stitching tables. They had installed cameras to but needed a solution to use the video data to monitor employee breaks and automatically count the through put of each stitching table. Hypothesis […]