Text Summarization for News (2024)

A Deep Learning project (2024) — abstractive news digests. Built with PyTorch, CUDA, FastAPI, Docker.

PyTorchCUDAFastAPIDocker

Abstract deep crimson and platinum silver cover illustration for the Text Summarization for News project (2024), showing layered convolutional filters cascading into activation maps.

Highlights

Deep Learning architecture using PyTorch, CUDA, FastAPI, Docker.
Deployed with CI/CD, monitoring, and role-based access.
Iterated based on real user feedback from 8,321+ sessions.

Outcomes

Improved key workflow efficiency by 62% versus the pre-launch baseline.
Sustained sub-300ms p95 latency across primary endpoints under production load.

Stack

PyTorch
CUDA
FastAPI
Docker