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FactChex - AI-Powered Media Bias Analyzer

Project Summary

FactChex is a full-stack web application built as a two-semester, client-sponsored Junior Capstone project at Georgia Tech (Aug 2024 - May 2025). Our 5-person team was tasked with creating a platform to combat media misinformation by harnessing AI to provide objective, real-time analysis of online articles and claims.

The final product was a comprehensive site featuring an AI chatbot (powered by the OpenAI API) that could analyze news links for trustworthiness, a full user authentication and data system, and daily user engagement features like trivia.

Note: This is a portfolio entry.

This was a client-sponsored project. At the conclusion of the capstone, all code and intellectual property were transferred to the client. This repository serves as a detailed breakdown of the project's architecture and my specific contributions.

Key Features

1. AI Analysis Chatbot

Users can submit a URL to a news article. The AI backend (using the OpenAI API and Serpapi) analyzes the content for trustworthiness, bias, and reliability, returning a summary and a score from 1-10.

2. Claim Verification

In a familiar chatbot format, users can also ask a question or submit a claim (e.g., "Is X claim true?") to receive a real-time, AI-generated, and sourced answer.

3. User Authentication & History

Users can create an account, log in, and view their entire chat history. This system, which I built, also supported secure admin-level roles.

4. Daily Trivia & News

To engage users, we also implemented a daily multiple-choice trivia question and a feed of current news articles.

Tech Stack

  • Frontend: React.js, HTML, CSS
  • Backend: Flask / Node.js
  • Database & Auth: Firebase (Firestore, Firebase Authentication)
  • AI & APIs: OpenAI API, Serpapi (for real-time search results)
  • Version Control: Git & GitHub

My Role & Contributions

As a core full-stack developer on the team, I focused on database architecture, user authentication, and technical leadership.

1. Firebase Architect (My Primary Role)

I owned approximately 90% of our Firebase implementation from the ground up. This included:

  • Database Design: Architecting the NoSQL (Firestore) database schema to store all user data, chat history, and trivia content.
  • Authentication: Implementing the complete user auth flow (sign-up, sign-in, sign-out) using Firebase Authentication.
  • Backend Logic: Writing the core backend functions for all database interactions (CRUD operations), such as saving a user's chat message, retrieving their chat history, and managing admin-level data.* Admin Controls: Building the logic and security rules for admin-level accounts.

2. Full-Stack Integration

I was responsible for the data integration between our React frontend and Firebase. While the team collaborated on building the React UI pages, I personally wrote the data-handling logic (e.g., from sign-up, login, and chat forms) to securely connect to, send, and fetch data from the Firebase backend.

3. Git & Team Leadership

I served as the team's main point of contact for Git and GitHub. I helped all team members with version control problems, established our branching strategy, and was responsible for resolving all major merge conflicts, ensuring a smooth development workflow. I also created the final installation guide for the client.

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