AI Employee Engagement Software is a complete AI-powered application for analyzing employee sentiment, predicting disengagement risks, and delivering actionable retention strategies. Built with FastAPI, React, and advanced machine learning models, this software lets you deploy a sophisticated employee engagement solution or build your own SaaS business in the HR technology space.
The software includes real-time sentiment analysis using transformer-based NLP models that extract insights from employee feedback across eight key workplace aspects including work-life balance, management quality, compensation, culture, growth opportunities, and recognition. The engagement prediction engine uses XGBoost and scikit-learn to forecast turnover probability and calculate employee engagement scores based on sentiment trends, feedback frequency, survey participation, and tenure data. A RAG-based recommendation system generates personalized intervention strategies by matching employee situations to proven engagement tactics. Additional features include an anonymous conversational AI assistant for collecting feedback, executive analytics dashboards with predictive insights, automated pulse surveys, team health scoring, and multi-role access control for employees, managers, HR administrators, and executives.
The technology stack includes Python 3.11+ with FastAPI backend, PostgreSQL database, PyTorch and HuggingFace Transformers for AI/ML, React 18 with TypeScript frontend, Tailwind CSS for styling, and Redux Toolkit for state management. The software uses synthetic data generation to improve model coverage and protect user information while training the AI components. Approximately 5,200 lines of production code are included across 48 files covering backend APIs, AI models, database schemas, frontend components, and service integrations.
IMPORTANT NOTE: This application has been fully developed with all features implemented. However, it has not been tested in a live production environment. Buyer should expect to perform integration testing and may encounter minor bugs that require fixing. Basic technical knowledge and development skills are required. Prerequisites include Python 3.11+, Node.js 18+, PostgreSQL 14+, and familiarity with environment configuration and dependency management. NO REFUNDS: Due to the digital nature, all sales are final.
Seller retains full ownership and control. Purchase grants a non-exclusive, non-transferable, perpetual license—AS IS, no support/updates, no refunds, no other obligations. Buyer may build and operate a materially new, closed-source product (including SaaS/paid service) for their own business/customers. Buyer may not open-source or disclose the application, nor resell, redistribute, rebrand, sublicense, or use the application (or any derivative) to create a competing or substantially similar product. License terms may be updated or changed at any time; continued use constitutes acceptance.
