Management Platform with Chatbot

Welcome to the management platform with an integrated chatbot. This project includes a modern user interface with a calendar, AI-driven suggestions and a chatbot.

Chatbot and assistant bot

The plateform is using one custum offline LLM to provide a chatbot and another custom LLM that suggest behaviour and calendar events according to employee informations and new events.

Project Structure

The project is structured as follows:

root │ plateforme.html │ README.md │ app.py │ event_LLM.py ├───css │ styles.css └───js script.js│ └───json employee.json employee2.json bot_response.json ├───/images │ microphone.png │ loupe.png │ interrochat.png │ notification.png │ profile.png

Prerequisites

To run this project, you will need:

• A modern web browser (Google Chrome, Mozilla Firefox, Microsoft Edge, etc.)
• Ollama installed on your computer to run the chatbot

Instructions to Open the Platform

1. Download the Project: Ensure you have downloaded or cloned the project to your computer.

2. Navigate to the Project Folder: Go to the folder containing the project files.

3. Create the two LLM assistant with Ollama: In the terminal type:

ollama create humanaizebot -f ./ModelFileAssistant ollama create humanaizechat -f ./ModelFileChat

To be usable on almost every laptops the system currently uses gemma:2b, but any model from ollama can be use for better performances. Just update the model in top of the two model files.

4. **Run the chatbot **: In the terminal type: python app.py

5. Open the plateform.html File: Double-click the plateform.html file. It should automatically open in your default web browser.

6. Interact with the Platform: You can now interact with the platform, view the calendar, and use the integrated chatbot.

Platform Features

• Calendar: An integrated calendar to manage your events and appointments.
• Chatbot: An interactive chatbot to answer your questions and assist with daily management.

LLM assistant

1. Create a json file with the employee information: Modify the employee.json file with the informations

2. Ask for recommandation from your assistant: Run in the terminal: python event_LLM.py

3. Obtain personnal recommandation from your assistant: A json file with the suggestion will be created (next step: to be link with the plateform)

Troubleshooting

• If the plateform.html file does not open in the browser, try right-clicking the file, then select "Open with" and choose your preferred web browser.
• Ensure all necessary files (CSS, images, and JavaScript) are in their respective folders and that the paths in the plateform.html file are correct.

Thank you for using our management platform with a chatbot. We hope it meets your needs and facilitates your daily management tasks.