RelaunchAI

Helping tech professionals predict layoff risk and find their next opportunity with AI-driven insights.

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Inspiration

What it does# RelaunchAI: AI-Powered Career Intelligence for Tech Professionals

About The Project

The Inspiration

We're a team of 5 students at Texas A&M University, and like many of our peers, we watched the tech layoffs unfold with a mix of fear and fascination. Almost 260,000 tech workers lost their jobs in 2023. We saw influencers, YouTubers, and even our friends' older siblings people who had done everything "right" suddenly scrambling for jobs.

And honestly? It scared all of us.

One of us even switched from CS to Cybersecurity because we thought it was "safer." But the more we learned, the more we realized: the fear was worse than the reality. The tech industry wasn't dying it was evolving. The people who navigated it best weren't necessarily the most "secure" they were the most prepared.

That's when we came together as a team. We realized that instead of running from uncertainty, we could build something that helps others navigate it. RelaunchAI was born not from years of industry experience, but from the very real fear of five students just starting out, who decided that understanding the game was better than running from it.

"The best way to predict the future is to create it." Peter Drucker

What We Learned

1. Fear is a Terrible Career Advisor

We learned this collectively. One of us switched out of CS because of "what might happen." But it taught us something invaluable:

The best career strategy isn't about finding a "safe" job, it's about building skills that make you resilient to change.

That's the core philosophy of RelaunchAI: help people see the landscape clearly so they can make strategic decisions.

2. Data Can Replace Fear

We realized that most people make career decisions based on anxiety rather than information. The tech industry has tons of data, layoff rates, hiring trends, skill demand, but it's fragmented.

What if there was a single place that could tell you:

  • How risky is your current role, actually?

  • What skills should you learn next?

  • Where are the opportunities?

That became the question RelaunchAI set out to answer.

3. Teamwork Makes the Dream Work

None of us had built a full-stack application before. But together, we had complementary skills:

| Team Member | Role | Strengths |

|-------------|------|-----------|

| Ayodeji | Frontend/Backend/AI Co-Lead | Vite, React, Tailwind CSS, FastAPI, Python |

| Dom | Frontend/Backend/UI Design Co-Lead & UI/UX | NextJS, FastAPI, Python, Figma |

| Lexie | AI/ML Researcher | Data Analysis, Algorithm Design |

| Jordyn | AI/ML Researcher & Data Collection | Research, Data Analysis |

| Zach | DevOps & Documentation | Git, Deployment, Technical Writing |

We learned that building a project as a team isn't just about splitting work it's about communication, trust, and supporting each other through the hard parts.

4. Technical Growth

Backend Development with FastAPI

We learned to build a robust REST API with:

  • JWT authentication and Google OAuth integration

  • SQLAlchemy ORM for PostgreSQL

  • Route protection and middleware

  • Environment variable management

Frontend Development with React

We mastered:

  • Component-based architecture

  • State management with React hooks

  • Responsive design with Tailwind CSS

  • API integration and error handling

DevOps & Deployment

We gained experience with:

  • Docker containerization

  • Git branching strategies

  • CI/CD workflows

  • Production deployment considerations

How We Built It

Tech Stack

We chose a modern, scalable stack:


graph TD

    A[Frontend: React + Vite + NextJS + Tailwind] --> B[API: FastAPI + Python]

    B --> C[Database: PostgreSQL]

    B --> D[AI: OpenAI GPT + Custom Algorithms]

    A --> E[Auth: JWT]

    F[Docker + Docker Compose] --> A & B & C

Built With

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