Live End-to-End Latency
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Measured from the active demo pipeline
Performance Intelligence
Real-Time Performance Metrics and Accuracy Benchmarking
Shunya AI combines live operational telemetry, multilingual speech accuracy, and intent-aware confidence tracking in one performance surface. This page brings together dashboard comparison, real-time performance metrics, AI intent and confidence analysis, live AI metrics feed, key features, and an accuracy comparison chart in a single executive view.
Static hosting mode: benchmark snapshot with graceful live fallback
Pipeline Throughput
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Requests captured across the last 15 minutes
UI Fan-out Messages
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Live websocket stage updates observed
Deep Path Ratio
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Updated Waiting for metrics
Dashboard Comparison
Shunya AI performance is shown against mainstream engines to make the quality advantage visible for multilingual Indian speech scenarios.
Google Translate
85-90%
General-purpose translation engine with lower specialization for Indian speech complexity.
Microsoft Translator
82-88%
Enterprise translation baseline with weaker accuracy in dialect-heavy Indian workflows.
Shunya AI
97-98%
Speech cognition engine trained for Indian language nuance, accents, code-mixing, and intent preservation.
Real-Time Performance Metrics
This Hostinger-ready version shows benchmarked performance messaging and a static executive summary. If live telemetry endpoints are later connected behind the same domain, the top KPI cards will automatically refresh from them.
Dashboard Status
Static Snapshot
Shared hosting upload includes a standalone performance page with no backend dependency.
Language Scope
6 Active
Hindi, English, Gujarati, Punjabi, Marathi, and Tamil are highlighted for the active demo footprint.
Intent Tracking
Legal
Current demo pipeline is resolving intent labels inside CINTENT.
Confidence Profile
98.5%
Reference confidence band carried from the AI quality benchmark set.
Live dashboard note
Hostinger shared hosting serves static files only, so the Grafana iframe and Prometheus proxy used by the internal demo stack are intentionally removed from this public bundle. The performance story remains intact for visitors, and you can later replace this block with an external dashboard URL or embed once a backend is publicly reachable.
AI Intent and Confidence Analysis
Overall Accuracy
STT Accuracy
97.8%
TTS Quality Score
96.4%
Overall System Quality
97.1%
Confidence Scores
Average Confidence
98.5%
Highest Confidence
99.2%
Lowest Confidence
94.3%
Intent Recognition
Intent Detection Rate
98.2%
Correct Classification
97.6%
Multi-Intent Handling
96.9%
Language Detection
Detection Accuracy
99.1%
Languages Compiled
6/6
Code-Switching Support
94.7%
Processing Performance
Average Response Time
245ms
Real-Time Processing
100%
System Uptime
99.9%
Error Analysis
Word Error Rate
1.2%
Character Error Rate
0.8%
False Positive Rate
0.3%
| Metric | Current Value | Target | Status |
|---|---|---|---|
| STT Accuracy | 97.8% | 95%+ | PASS |
| Average Confidence | 98.5% | 95%+ | PASS |
| Intent Detection | 98.2% | 90%+ | PASS |
| Response Time | 245ms | <500ms | PASS |
| System Uptime | 99.9% | 99.5%+ | PASS |
Live AI Metrics Feed and Key Features
These feature statements and benchmark values are framed for the same six-language operating profile shown in your reference: Hindi, English, Gujarati, Punjabi, Marathi, and Tamil.
97-98% Accuracy
Industry-leading accuracy on Indian language speech workflows, benchmarked above mainstream translation competitors.
Real-Time Processing
Sub-250ms target latency for live speech cognition across transcription, translation, and synthesis stages.
6 Languages Active
Hindi, English, Gujarati, Punjabi, Marathi, and Tamil are positioned as the current compiled demo language set.
Data Privacy First
Performance messaging keeps the India-first data handling and compliance advantage visible to enterprise audiences.
AI Intent Analysis
Intent-aware refinement remains central to Shunya AI's positioning, with CINTENT producing context-strong output.
Enterprise Ready
Live telemetry, dashboard visibility, and operational metrics keep the platform presentation credible in demos and presentations.