Bharat in Betastartup field guide
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No. 1132Problem statementHealth and wellbeing

Few Shot Language Agnostic Key Word Spotting system (FSLAKWS) for audio files.

Source

Source summary

Develop few-shot, language-agnostic keyword spotting that locates and classifies specified words in variable-length audio at sample rates from 8 to 48 kHz. Support adding keywords after initial development. Teams may pretrain on their own corpus, then learn from a few event-provided examples; evaluation uses separate recordings of the same keywords and considers detection metrics, latency/throughput and model size.

No. 1368Problem statementHealth and wellbeing

Hybrid Quantum Machine Learning Platform for Early Disease Detection

Build hybrid quantum-classical disease-detection research using biomedical data, classical preprocessing/features and quantum-enhanced models executable on simulators or near-term hardware. Support training, inference, explanations and documented evaluation against classical baselines for accuracy, sensitivity, specificity, efficiency and generalisation. Cancer, cardiovascular and neurological conditions are examples. No clinical or quantum advantage is established, and the source contains an unfinished deliverables-table placeholder.

No. 158Opportunity areaHealth and wellbeing

Programmable Physiology

Many intractable diseases arise from dysregulation across interacting biological systems; develop technologies to read, model, and modulate human biology at systems scale.

No. 330Problem statementHealth and wellbeing

Multiplex Platforms to Assess Indicators of Micronutrient Status, Inflammation and Infectious Disease

Develop multiplex measurement platforms that expand analytical coverage, improve sensitivity and specificity, simplify measurement, reduce cost, and enable frequent local monitoring of nutrition, inflammation, and infection indicators.