PML 2025 - Krikri LLM Student Projects

A collection of interactive AI-powered applications built with Streamlit and the Krikri LLM API. This project showcases various student-created tools that leverage large language models for educational and creative purposes.

🚀 Features

This application includes the following modules:

Symptom Explainer

• Γιώργος Τσαφούλης, Φώτης Μαμούδης

Get personalized medical insights by describing your symptoms. The tool considers your age, height, weight, and symptom duration to provide contextual explanations in your preferred language.

Ideal Sport Advisor

• Φώτης Μαμούδης, Παναγιώτης Τσιτίνης

Receive personalized sport recommendations based on your age, habits, and vital status. Get advice tailored to your age group and lifestyle.

How to Persuade My Parents

• Νικόλας Κουλουριώτης, Χρήστος Σοφιανόπουλος & Κωνσταντίνος Αμαραντίδης

Generate convincing arguments to help you persuade your parents. Adjust the excuse strength level and get multiple tailored arguments for what you want.

Dress Code Advisor

• Μιχάλης Πολυπόρτης & Γιώργος Τσαφούλης

Get outfit recommendations based on the occasion, gender, dress code formality, and age group. Perfect for any event!

Coding Assistant

• Κωνσταντίνος Δρούκας, Αλέξανδρος Μιλάτος & Νίκος Βαγενάς

Your AI programming companion with three modes:

• Explain Code: Get step-by-step explanations of code
• Fix Bugs: Identify bugs and receive corrected code
• Generate: Create new code from descriptions

Translator

• Ευαγγελία Κορκοβέλου, Θωμάς Τσολάκης

Quickly translate text between English and Greek with AI-powered accuracy.

Jokes Generator

• Ευαγγελία Κορκοβέλου, Θωμάς Τσολάκης

Create hilarious jokes on any topic with adjustable craziness levels. Get your humor in English or Greek!

Order List

• Ευαγγελία Κορκοβέλου, Θωμάς Τσολάκης

Generate ranked lists of items ordered from best to worst based on your criteria and preferred language.

🛠️ Installation

1. Clone or download this repository

2. Install dependencies:

   pip install -r requirements.txt

3. Configure credentials in .streamlit/secrets.toml:

   [LLM_CREDENTIALS]
   API_KEY = "your-api-key"
   API_ENDPOINT = "your-endpoint-url"

▶️ Running the Application

Start the Streamlit app:

streamlit run streamlit_app.py

The app will open in your default browser at http://localhost:8501.

📋 Requirements

• Python >= 3.12
• streamlit >= 1.30.0
• openai >= 1.0.0

See requirements.txt for complete dependencies.

📁 Project Structure

pml_2025/
├── streamlit_app.py          # Main application with all modules
├── main.py                   # Entry point stub
├── requirements.txt          # Python dependencies
├── pyproject.toml           # Project metadata
├── .python-version          # Python 3.12
├── .streamlit/
│   └── secrets.toml         # API credentials (gitignored)
└── README.md                # This file

🎓 About

This project is developed by PML 2025 students using the Krikri LLM API. Each module demonstrates different applications of large language models in education, wellness, creativity, and problem-solving.

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Built with ❤️ by PML 2025 Students