NoN-Technical Employees Assistant (NTEA)

Project Overview

This project involves developing a chatbot designed to assist non-technical employees in accessing personal information such as their bonuses, leave balances, salary details, and performance ratings. The chatbot requires the employee to authenticate, after which it retrieves the necessary information from the company's employee database. The data, along with the employee's query, is processed by a large language model (LLM) like GPT or Gemini, which provides accurate responses to the employee's queries.

Importance of the Project

The chatbot simplifies how employees interact with their personal data, removing the need for direct HR interaction. This leads to:

Faster response times (eliminating waiting for HR to respond)

Enhanced efficiency and self-service capabilities

Reduced HR workload, allowing HR to focus on more critical tasks

Features

Password Hashing: Provides security for user authentication.

Data Privacy: Ensures only authenticated employees can access their personal data.

Real-time Responses: Employees receive answers immediately after querying.

Multilingual Support: The chatbot supports both Arabic and English.

Objective-Focused Interaction: Employees can only query personal information, reducing misuse of the chatbot.