Building Saaram: How I Built a Low-Resource Telugu News Summarizer with FastAPI, mT5, and Adaptive AI Routing
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Saaram (సారం) is a production-ready AI platform for Telugu news summarization and text-to-speech built using FastAPI, mT5 transformers, morphology-aware TF-IDF, adaptive inference routing, and neural speech synthesis. Saaram delivers deep abstractive summarization while strictly respecting the memory constraints of free-tier cloud infrastructure. The research behind this project was submitted to CIS 2026 (Springer LNNS). Introduction Building real-world AI applications is rarel