Ghose Lab of Artificial Intelligence

A super useful Streamlit Application that enables me to efficiently share with students that homeworks, slides, suggested reading for each week of the courses I teach as guest lecturer or freelance trainer.

🚀 Demo

v.0.0.1

⚒️ Usage

Open your terminal / command prompt.

Clone the repository

git clone https://github.com/smaranjitghose/GhoseAILab.git

Change the directory to the cloned project
```
cd GhoseAILab
```
Ensure you have Python installed in your system
Create a new virtual environment
```
python -m venv env
```

Activate virtual enviroment

On Mac/Linux
```
source env/bin/activate
```
On Windows
```
env/Scripts/Activate.ps1 
```

Install the dependencies
```
pip install -r requirements.txt
```
Start the application
```
streamlit run app.py
```

Data Schema

The data is currently stored on a JSON with the following schema

[
    {
    "course_code": "DLH301",
    "course_name": "Deep Learning for Healthcare",
    "pre-requisites": "........",
    "description": ".....",
    "instructors": ["Smaranjit Ghose"],
    "semester": "Spring 2023",
    "material": [
      {
        "week number": 1,
        "topic": "Introduction to Deep Learning and Healthcare",
        "g_slide": "https://docs.google.com/presentation/d/e/2PACX-1vSpCqGzK4luU4wcOdbWxACQ4JJNXlvMslgWapsQYzW5_YDHqDPVzrIMPCnEwpFvstbcnHqvzHNXfP-4",
        "reading": [
          "Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville",
          "Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again by Eric Topol"
        ]
      },
      {

      }
      .
      .
      .
    ]
    },
    {
    "course_code": "......",
    "course_name" "......",
    .
    .
    .
    .
    },
    .
    .
    {
        ..
        ..
    },
]

Potential Features

Display as PDF
Load JSON into pandas, parse it, Display in an editable dataframe using AGGrid
CRUD on JSON using pandas + AGGRID
Use a wide column or KV Database
Semantic Search
GPT-4
Improve UI
t3 trial
CMS
Dockerize

🛡️ License

This project is licensed under the GNU Affero General Public License v3.0 License - see the LICENSE file for details.