Resume Classification: A Case Study
Challenges Professional recruiters and HR personnel manually review hundreds of resumes.Manual sorting of resumes into categories is inaccurate and time-consuming.No resume summaries are available. Xpertnest’s Solutions A Named Entity Recognizer (NER) was trained to detect key words and key phrases from the resume.Data was annotated for training.The NER used the presence or absence of desired keywords for sorting.Resume summaries were created based on key words and phrases found in the resumes. Value Delivered NER reduced the risk of human error.Summaries enabled HR personnel to review resumes quickly and decide whether candidates were suitable.The client saved time and was able to raise the quality of...
For a Legal Firm: Contract Review Using NLP
Challenges The client, a legal company, wanted to be able to search documents for lease review and due diligence.The system needed to be able to identify the key parameters defined by the legal expert and provide key insights.Automated summaries had to be prepared using parameters such as contract terms, party details, and compensation and liability clauses. Xpertnest’s Solutions Xpertnest used Natural Language Processing (NLP) and Artificial Intelligence (AI) to train a model on the key parameters to be identified in the documentData was annotated for module training.A solution was implemented to generate summaries of each contract. Value Delivered Accurate summaries of contract information.Minimal human...
For Oil and Gas Sector Client: OCR & NLP for Digitization and Streamlined Workflows
Challenges The client, an energy firm, wanted to be able search contracts, identify key words, and draw connections between documents.The system needed to collect document data.Key phrases and clauses needed to be extracted from the contract.The software had to be able to read and recognize ID documentation. Xpertnest’s Solutions Xpertnest built a scraping tool to create a dataset from legal documents on the company website.Software cleaned the images and documents, and annotated them for Named Entity Recognition (NER).NER models were trained using annotated data and ID types for document organization. Value Delivered Faster, more efficient document searching has generated significant savings in time and...
Satellite-Estimated Soil Moisture Data
Challenges The agricultural sector in the Indian state of Karnataka required information to deliver timely and adequate irrigation.The information was needed at high granularity and at regular intervals, identifying water stress areas.IoT-based sensors only provide soil moisture data on a point scale while data supplied by drones was not economical. Xpertnest’s Solutions Xpertnest estimated soil moisture by combining multiple satellite data sources to improve granularity and provide data at regular intervals.Satellite-estimated soil moisture identified water stress areas at the desired scale, enabling stakeholders to make optimal decisions.The data enabled estimates of historical soil moisture data to predict likely crop yield. Value Delivered Reduced water...
AMS Support for Prisoner Management for an African Country
Challenges A client in an African country wanted a complete offsite Association Management Software solution for managing prisoners.The data system would hold prisoner biometric details and crime information.The solution would enable multivendor development and frequently changing reporting requirements.Major hotfixes would be needed for continuous system functioning. Xpertnest’s Solutions Xpertnest created AMS software with balanced onsite support for application management.The system provided root-cause and performance analyses, with continuous improvement.Unnecessary formalities were removed from the system. Value Delivered Improved system integration.Reduced technical issues during maintenance.
