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HUBOFUS

Home

Projects

About

Say Hello

HUBOFUS

Home

Projects

About

Say Hello

HUBOFUS

HR Tool

hr-tool

Project Duration

9 Months

Services Provided

• AI Integration

• Software Development

• Data Analysis

• User Interface Design

• Testing and Quality Assurance

Problem

A large manufacturing company, faced significant challenges in optimizing worker performance and streamlining their recruitment process. On the production floor, there was no efficient system to measure employee productivity in real-time, making it difficult to identify high performers or areas needing improvement. This lack of insight led to inefficiencies and hindered overall productivity.

In addition, the human resources department was overwhelmed with the volume of resumes received for open positions. Manually reviewing each CV was time-consuming and prone to human error, which could result in overlooking qualified candidates. The company sought a solution that could leverage artificial intelligence to monitor and analyze worker performance and automate the CV review process, all while ensuring compliance with privacy regulations and maintaining ethical standards.

Project Duration

9 Months

Services Provided

• AI Integration

• Software Development

• Data Analysis

• User Interface Design

• Testing and Quality Assurance

Problem

A large manufacturing company, faced significant challenges in optimizing worker performance and streamlining their recruitment process. On the production floor, there was no efficient system to measure employee productivity in real-time, making it difficult to identify high performers or areas needing improvement. This lack of insight led to inefficiencies and hindered overall productivity.

In addition, the human resources department was overwhelmed with the volume of resumes received for open positions. Manually reviewing each CV was time-consuming and prone to human error, which could result in overlooking qualified candidates. The company sought a solution that could leverage artificial intelligence to monitor and analyze worker performance and automate the CV review process, all while ensuring compliance with privacy regulations and maintaining ethical standards.

Project Duration

9 Months

Services Provided

• AI Integration

• Software Development

• Data Analysis

• User Interface Design

• Testing and Quality Assurance

Problem

A large manufacturing company, faced significant challenges in optimizing worker performance and streamlining their recruitment process. On the production floor, there was no efficient system to measure employee productivity in real-time, making it difficult to identify high performers or areas needing improvement. This lack of insight led to inefficiencies and hindered overall productivity.

In addition, the human resources department was overwhelmed with the volume of resumes received for open positions. Manually reviewing each CV was time-consuming and prone to human error, which could result in overlooking qualified candidates. The company sought a solution that could leverage artificial intelligence to monitor and analyze worker performance and automate the CV review process, all while ensuring compliance with privacy regulations and maintaining ethical standards.

Solution

To address these challenges and set FactoryPro™ on a path to success, we developed an integrated AI-powered platform that revolutionized both their performance measurement and recruitment processes.

Worker Performance Measurement

We implemented an AI system that utilizes data from sensors and IoT devices installed on the factory floor. This system collects real-time data on various performance metrics such as machine operation times, output levels, and adherence to safety protocols. Using TypeScript and Node.js for backend development and Next.js for the frontend, we created a responsive dashboard that provides managers with actionable insights.

Machine learning algorithms analyze the data to identify patterns, predict maintenance needs, and suggest operational improvements. The AI can highlight deviations from standard performance, enabling supervisors to address issues promptly. This real-time monitoring helps in recognizing high-performing employees and provides data to support training programs for others.

CV Review Automation

For the recruitment process, we developed an AI-driven application that automates the initial screening of resumes. Using natural language processing (NLP) and machine learning techniques, the system analyzes CVs to match candidate qualifications with job requirements.

Key features include:

• Automated Parsing: The AI extracts relevant information such as education, work experience, and skills.

• Candidate Scoring: Resumes are scored based on how well they match the job criteria.

• Bias Mitigation: The system is designed to reduce human biases by focusing on qualifications and experience.

The backend services were built using Node.js, while the user interface for HR professionals was designed with Figma and developed using Next.js. We ensured that all data processing complies with privacy laws and that sensitive information is securely handled.

Technologies and Deployment

• AI and Machine Learning: Implemented with frameworks compatible with TypeScript and Node.js, facilitating seamless integration.

• User Interface Design: Created intuitive and user-friendly interfaces for both the performance dashboard and the recruitment tool.

• Deployment: Utilized Kubernetes for container orchestration, ensuring scalability and high availability.

• Testing: Employed Cypress for comprehensive testing to ensure reliability and performance across all features.

Results

The implementation of this AI-powered platform delivered remarkable results:

• Increased Productivity: Worker performance improved by 15%, as real-time feedback enabled immediate corrective actions and recognition of excellence.

• Efficient Recruitment: The time spent on initial CV screening was reduced by 60%, allowing HR staff to focus on interviewing top candidates.

• Data-Driven Decisions: Managers gained valuable insights into operational efficiencies and employee performance, leading to better decision-making.

• Employee Engagement: Transparent performance metrics fostered a culture of accountability and motivation among workers.

• Compliance and Ethics: The system was developed with strict adherence to privacy regulations and ethical standards, ensuring trust among all stakeholders.

This project demonstrates how leveraging AI technologies can significantly enhance operational efficiency and streamline critical business processes. By automating routine tasks and providing real-time insights, They were able to improve productivity, reduce costs, and foster a more engaged workforce.