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Skelix

Simple, Cool & Agile Intelligence
An AI-powered platform integrating multiple tools to enhance productivity, automate information processing, and enable smarter content creation.

🧠 About

Skelix is an AI-driven full-stack application combining React + Vite on the frontend and Python (Flask) on the backend.
It provides six integrated AI tools built using advanced NLP and multimodal models, fine-tuned for higher accuracy and performance.

🔥 AI Tools Included

  • Text Summarizer – Generates concise summaries from long documents
  • Mind Map Generator – Uses AI prompting to convert text into structured mind-map diagrams
  • Fake News Detector – Classifies whether an article or statement is credible
  • Image Caption Generator – Generates descriptive captions from images
  • Text-to-Audio Converter – Converts written text to natural-sounding speech
  • YouTube Notes Generator – Extracts and summarizes key insights from YouTube videos

🤖 Models Used

  • BERT – Fine-tuned for Fake News Detection
  • T5 – Used for summarization and text transformation tasks
  • Whisper Small – Used for speech/audio-related processing
  • Hugging Face pipelines for seamless inference

Designed for content creators, researchers, educators, and students, the platform streamlines knowledge extraction, analysis, and visualization.


🚀 Features

  • AI-powered multi-tool productivity suite
  • Fast React + Vite frontend
  • Python Flask backend
  • Tailwind CSS for styling
  • Dockerized setup for easy deployment
  • Clean modular architecture
  • Hugging Face model integration
  • Fully scalable and extendable

🛠 Tech Stack

  • Frontend: React, Vite, TailwindCSS
  • Backend: Python, Flask
  • AI / NLP: Hugging Face, BERT, T5, Whisper Small
  • DevOps: Docker
  • Other: ESLint, PostCSS, Vite config

📥 Getting Started

Prerequisites

  • Node.js (v16+)
  • Python 3.8+
  • Docker (optional)

Installation

git clone https://github.com/Samyakjain808/skai.git
cd skai

Running Locally

cd public
npm install
npm run dev

Backend

pip install -r requirements.txt
python app.py

🏗 Folder Structure

skai/
│
├─ apis/             # Backend API endpoints
├─ public/           # Frontend public files
├─ src/              # Frontend source code
├─ utils/            # Shared utilities/helpers
├─ docker/           # Docker configuration
├─ package.json
├─ requirements.txt
├─ runtime.txt
└─ README.md

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