Project spotlight ✨

Apollo

Apollo is a stock-monitoring and analysis system that aggregates machine-learning signals into a clear, intuitive interface.

The challenge 🎯

Turn noisy market data into actionable insight without overwhelming the user.

Built ingestion pipelines, prediction models, and the dashboard with a modular microservices architecture.

Users get a clearer decision-making workflow through sentiment, anomaly, and trend signals surfaced in one place.

Key takeaways with the most relevant technical signals in focus.

Machine-learning insights for sentiment, anomaly, and trend detection

Modular microservices architecture for ingestion and analysis

Clear dashboard experience for decision support

Pipeline-driven data flow from ingestion to prediction

Grouped by role so the stack is easier to read at a glance.

Languages

🐍 Python 🐹 Golang

Frontend framework

💙 Flutter

Data layer

🗄️ MySQL

AI/ML

🧠 TensorFlow

A compact view of the signals this project communicates.

What it reflects ✨

Data-driven decision support

Financial modeling interest

Analytical problem solving

Systems thinking in uncertain environments

What it shows 🔎

Quantitative modeling

Financial logic

Data pipelines

Full-stack

Open the live project to explore the full implementation and documentation.