Welcome to the AI and Innovation Workshop course repository! This repository contains assignments from the 3rd semester course of my Master's in Photonics for Security, Reliability, and Safety (PSRS) at UPEC University, Paris Est-Créteil.
Each session has its own unique project, where we build exciting applications using Python, PyQt5, and AI models. 🚀
- Task: Develop a face verification app.
- Instructions:
- Load an image and match it with a base image.
- Display both images side by side.
- Show a message if the faces match. 🎉
- Task: Extend the face verification app to include face recognition.
- Instructions:
- Add a second tab in the GUI for face recognition.
- Use a database to match the face (not local files).
- Display the recognized face with a bounding box and name, or
UNKNOWNif no match. 🧑💻
- Task: Create a chat interface for a Large Language Model (LLM).
- Instructions:
- Host the LLM API on Colab using Ngrok for public access.
- Build a simple GUI to chat with the LLM and display responses. 🧠💬
- Task: Create a multi-modal LLM app with text and image input.
- Instructions:
- Host the openbmb/MiniCPM-V-2_6-int4 model API on Colab using ngrok for public access.
- Create two POST routes:
- Route 1: Send a text prompt via a POST request and get a response from the LLM. 📝➡️🤖
- Route 2: Send a text prompt + image, and receive a response from the LLM. 🖼️➕📝➡️🤖
- Build a GUI to utilize these routes and interact with the model.
- Language: Python 🐍
- GUI Framework: PyQt5 🖥️
- API Hosting: Colab + Ngrok 🌐
- Face Recognition: OpenCV and custom models 📸
- LLM Model: openbmb/MiniCPM-V-2_6-int4 🤖
- Multi-modal Processing: Text + Image inputs for LLM responses 📝🖼️
- Each session's project is stored in its respective folder with the code and resources.
- Feel free to explore the individual assignments! 😎