LLM Projects Collection

Welcome to the LLM Projects repository — a growing collection of hands-on applications powered by Large Language Models (LLMs) like Google Gemini 2.0 Flash and Meta's LLaMA 3.2. This repo showcases real-world use cases built with Streamlit, focused on automating content creation and enhancing productivity with AI.

Whether you're a student, developer, or AI enthusiast, these projects demonstrate how to integrate cutting-edge LLMs into useful tools like blog generators, SQL query builders, and data analysis assistants.

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🌐 Live Demos

Explore the live versions of selected apps from this collection:

Project	Live Demo	Description
LLM Tools Suite – Web Version	llmtoolsuite.netlify.app	Web-based version featuring a modern Dark-theme UI for all AI tools.
LLM Tools Suite – Streamlit Version	llm-tools-suite.streamlit.app	Streamlit-powered suite integrating Blog AI, CSV Analyzer, SQL Generator, and Summarizers.
Flutter Chatbot	moustafamohamed01.itch.io/flutter-chatbot	Cross-platform AI chatbot built with Flutter and integrated LLM backend.

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Projects Included

1. AI Blog Assistant

Generate SEO-friendly blog posts with just a title and keywords. Built using Gemini 2.0 Flash and optionally powered by LLaMA 3.2 for experimentation with open-source models.

Features:

• Input-based article generation
• Multi-model support (Gemini & LLaMA)
• SEO keyword handling
• Markdown export
• Beautiful, responsive UI

View README

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2. AI SQL Query Generator

Turn plain English into fully-formed SQL queries! This tool supports schema context, dialect customization, and offers AI-generated explanations and sample outputs.

Features:

• Converts natural language to SQL queries
• Supports Gemini 2.0 and LLaMA 3.2
• Accepts optional DB schema and dialect
• Returns SQL, explanation, and sample output
• Clean Streamlit interface

View README

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3. AI CSV Assistant

Upload a CSV file and interact with your dataset through natural language questions using either Google Gemini or LLaMA 3.2 via Ollama. No embeddings or external databases required.

Features:

• Upload and preview CSV files
• Ask questions about your data
• Gemini or local LLaMA backend support
• No vector store needed
• Session-based Q&A memory

View README

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4. Website Summarizer

Extract and summarize website content using Google Gemini API or LLaMA 3.2 (via Ollama). Scrapes raw text, removes unnecessary elements, and outputs clean markdown summaries.

Features:

• Extracts title and main text from a URL
• Removes scripts, styles, and irrelevant tags
• Summarizes using Gemini or LLaMA 3.2
• Works with Jupyter or standalone scripts
• No need for embeddings or RAG setup

View README

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5. AI Document Summarizer

Summarize content from uploaded PDF and Word documents in seconds using Google Gemini 1.5 Flash and LangChain. The app creates a vector-based knowledge base and queries the content for an intelligent summary.

Features:

• Upload .pdf or .docx files
• Automatically extracts and cleans text
• Uses FAISS and LangChain for context-aware summarization
• Gemini 1.5 Flash as the LLM backend
• Clean and responsive Streamlit interface

View README

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6. AI Assistant Pro

A professional chatbot interface built with Gemini 2.0 Flash, designed for business, academic, and formal communication. It features context-aware chat, markdown formatting, and exportable transcripts.

Features:

• Powered by Gemini 2.0 Flash
• Formal, accurate, and solution-focused replies
• Persistent session memory
• Chat export to .txt format
• Sleek UI with Streamlit

View README

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LLM Tools Suite

An integrated collection of AI-powered tools designed to enhance productivity and streamline various tasks using advanced Large Language Models. This suite offers a unified interface to access powerful features for content generation, data analysis, query creation, and document summarization.

Features:

• 🏠 Overview: A welcoming home screen providing an introduction and quick overview of all available tools.
• 📝 Blog AI Assistant: Generate high-quality blog content using AI based on title, keywords, and desired word count.
• 📊 AI CSV Analyzer: Upload your CSV files and analyze them intelligently using LLM-powered queries.
• 💻 SQL Query Generator: Transform plain English into SQL queries with the help of AI.
• 📄 Document Summarizer: Upload a PDF or Word document and get a concise summary in seconds.

View README

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Getting Started

1. Clone the Repository

git clone https://github.com/MoustafaMohamed01/llm-projects.git
cd llm-projects

2. Navigate to Any Subproject

For example, to use the AI SQL Generator:

cd ai-sql-query-generator
pip install -r requirements.txt

3. Set Your API Key (for Gemini-powered apps)

Create a file named api_key.py inside the subproject folder:

GEMINI_API_KEY = "your_google_gemini_api_key"

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Requirements

Each app has its own requirements.txt, but common dependencies include:

• streamlit
• google-generativeai
• pandas
• requests
• json

Install them globally or per-project as needed.

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Gallery

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Author

Created by Moustafa Mohamed - feel free to reach out!

• GitHub: MoustafaMohamed01
• Linkedin: Moustafa Mohamed
• Kaggle: moustafamohamed01
• Portfolio: moustafamohamed

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