auralis-vfs
Pip-installable Python library for vocal fatigue scoring from raw speech. Built on ECAPA-TDNN-VHE — returns a normalized fatigue score from any audio input.
Libraries, APIs, and platforms spanning speech AI, LLM observability, RAG, agents, and developer tooling — all open and pip-installable where applicable.
Pip-installable Python library for vocal fatigue scoring from raw speech. Built on ECAPA-TDNN-VHE — returns a normalized fatigue score from any audio input.
Real-time vocal health monitoring tool — streams microphone input, runs auralis-vfs, and surfaces fatigue level and vocal load over a session.
Open-source speaker verification framework using embedding cosine similarity on ECAPA-TDNN representations. Lightweight, no external APIs required.
Pakistani synthetic data library for realistic test fixtures — Urdu and Roman Urdu names, CNIC numbers, phone formats, addresses, and locale-aware records.
End-to-end LLM platform with real-time hallucination detection, structured logging, and a developer dashboard — hallucination rate, latency, P50/P95.
Multi-agent system for automated EDA, cleaning, visualization, and report generation — autonomous data analysis pipelines built on CrewAI.
Image encryption scheme scoring 100/100 against 14 benchmark algorithms across standard cryptographic security tests.