Synaptic Insight Engine

AI-assisted web application for analyzing scientific papers and technology case studies from a URL.

Live demo: https://synaptic-insight-engine.vercel.app

What it does

Synaptic Insight Engine fetches content from a user-provided URL and uses the Google Gemini API to organize the material into a structured analysis. The application is designed to surface questionable claims, legitimate opportunities, knowledge gaps, and possible MVP directions.

Key features

• Fetches and parses article or case-study content from a URL
• Uses Gemini for structured AI-assisted analysis
• Highlights claims, opportunities, missing information, and growth-model considerations
• Generates an MVP-oriented blueprint from the analysis
• Provides a responsive browser interface with dynamic results
• Runs on Vercel using serverless API functions

Tech stack

• Frontend: HTML5, CSS3, JavaScript
• Backend: Node.js serverless functions
• AI: Google Gemini API
• Data: Supabase / PostgreSQL
• Libraries: Axios, Cheerio, @google/generative-ai
• Deployment: Vercel
• Version control: Git and GitHub

Local setup

1. Clone the repository:

git clone https://github.com/rguid31/synaptic-insight-engine.git
cd synaptic-insight-engine

2. Install dependencies:

npm install

3. Create a local environment file from the example:

cp .env.example .env

Add your Gemini API key to .env:

GEMINI_API_KEY=YOUR_SECRET_API_KEY_HERE

4. Run the project locally with the Vercel CLI:

vercel dev

Project status

Active portfolio project. Features and implementation may continue to evolve.

Author

Ryan Guidry

• Portfolio: https://ryanguidry.com
• LinkedIn: https://www.linkedin.com/in/rmguidry
• GitHub: https://github.com/rguid31