Capstone (Team) — AI Finance Prediction App
Team capstone building an AI-assisted finance prediction workflow with clear evaluation, safeguards, and a web UI.
Game stats
Hours on record
384 hrs
Last played
3 weeks ago
Achievements
19 / 22
Reviews
Very Positive (612)
Install size
312 MB
Players
Single + Co-op
Media
Achievements
3 of 4 unlocked · 19 of 22 per Steam
Evaluation Owner
Built the evaluation harness — baselines, metrics, the whole thing.
Contract Driven
Defined the API between model and frontend so neither team blocked the other.
Team Player
Shipped as part of a 4-person team — code reviews, sprint planning, all of it.
Hidden achievement
Keep playing this project to find out.
Overview
Problem
Users wanted a simple UI for exploring signals and predictions with transparent evaluation and limits on overconfident outputs.
My role
Team contributor: owned ML evaluation + API contract; implemented feature work end‑to‑end and documented trade‑offs.
Stack
React + TypeScript (Vite) • FastAPI (Python) • SQLAlchemy • Docker • ML baselines (SVR/RF) • Vercel (frontend)
Highlights
- Owned the evaluation approach (baselines + metrics) and translated results into clear UI-friendly outputs.
- Defined and implemented the API contract between model code and the web UI for predictable integrations.
Case study
Capstone — AI Finance Prediction App (Team)
Repository: https://github.com/Cengizbey-m/Feather-Capstone
Live demo: https://feather-capstone-omega.vercel.app/
Summary
Full-stack capstone app for next-day market insights: baseline ML predictions plus optional sentiment features, packaged into a UI that’s easy to explore.
My contribution
- Owned evaluation approach (baselines + metrics) and translated results into clear UI-friendly outputs
- Defined the API contract between the backend and frontend
- Built features end-to-end (data → API → UI) and documented trade-offs for the team
Tech snapshot
- Frontend: React + TypeScript (Vite)
- Backend: FastAPI (Python) + SQLAlchemy
- Docker for local/dev setup