fullstackInternal ProjectFeatured
AI-Powered HR Analytics Platform
Full-stack web application for HR analytics with LLM-powered attrition risk detection. Designed UI/UX, built frontend and backend.
Developed at ATP
Lead Developer & AI Engineer
2023-2024
Internal project - no public access
Screenshots
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About This Project
Developed a comprehensive HR analytics platform that leverages LLM technology to analyze employee data and predict attrition risk. The system processes employee records, performance reviews, and sentiment from internal communications to identify employees at risk of leaving. The platform features intuitive dashboards for HR teams to take proactive retention measures.
Key Features
- LangChain-powered agent for analyzing employee records and comments
- Sentiment analysis on internal communications and feedback
- Risk scoring algorithm with explainable AI insights
- Interactive dashboards with drill-down capabilities
- Automated reporting and alert system for HR teams
- Integration with existing HRIS systems
Challenges & Solutions
- Processing sensitive employee data while maintaining privacy
- Building accurate prediction models with limited historical data
- Creating explainable AI outputs that HR teams could act upon
- Integrating with multiple legacy HR systems
Results & Impact
- 18% reduction in voluntary employee turnover
- Significantly reduced time for HR teams to identify at-risk employees
- Improved employee retention strategies based on data-driven insights
Technologies Used
ReactPythonLangChainAzurePostgreSQLFastAPIOpenAI GPT-4
Project Details
- Category
- fullstack
- My Role
- Lead Developer & AI Engineer
- Duration
- 8 months
- Year
- 2023-2024
- Company
- ATP
- Status
- Internal / Private
Internal Project
This project was developed for internal use at ATP. Source code and live demo are not publicly available due to confidentiality.