
Fraud Detection System
Real-time ML pipeline uses velocity, geospatial and graph features to detect and prevent fraudulent transactions with sub-100ms responses.

Real-time ML pipeline uses velocity, geospatial and graph features to detect and prevent fraudulent transactions with sub-100ms responses.

ML-driven credit scoring using alternative signals to increase approvals for creditworthy customers while lowering defaults.

LSTM-based forecasts + personalized campaigns that improve retention and lower customer replacement costs.

NLP powered by Bio-ClinicalBERT and LLMs to automate ICD-10 coding and reduce documentation burden for clinicians.

Predictive analytics identifies patients at high risk of 30-day readmission, enabling targeted post-discharge care.

Time-series and ML models to forecast patient volumes and optimize nurse staffing, reducing overtime and inefficiency.

Hybrid forecasting pipeline for high-cardinality SKU sets that reduces waste and stockouts while saving millions annually.

Automated OCR pipeline that extracts line items and metadata from receipts, drastically cutting manual processing time.

RL and elasticity-driven pricing engine that increases revenue and margins by adjusting prices in real-time.

IoT + ML predictive maintenance that reduces downtime and maintenance costs while providing early failure warnings.

Optimization-driven production planning that increases throughput and reduces resource waste via ML + LP.

Edge-ready vision system using YOLOv8 to detect defects with high accuracy and speed up inspection throughput.

Traffic prediction and auto-scaling to reduce congestion complaints and optimize network resource use.

Churn prediction plus offer orchestration to reduce subscriber churn and save millions annually.

LLM chatbot + intent routing that handles routine telecom queries and reduces call center load.

Satellite + ML forecasting to accurately predict yields and improve farmer planning and income.

Mobile CV that flags pests and diseases early to prevent major crop losses and guide interventions.

Satellite-driven carbon monitoring to automate audits and enable scalable carbon credit generation.

24-hour ahead multi-variate forecasting to optimize generation, reduce costs, and balance supply/demand.

IoT and ML to detect anomalies and theft in distribution networks and provide real-time operational insights.

Combined predictive maintenance and weather forecasting to increase renewable generation efficiency and uptime.

NLP resume parsing and ranking to dramatically reduce screening time and improve hire outcomes.

Predictive attrition to identify at-risk employees early, enabling retention actions and cost savings.

Personalized learning recommendations that boost completion and accelerate skill development.

Automated carbon accounting to streamline ESG reporting and improve accuracy across Scope 1/2/3.

IoT-based monitoring and ML forecasting for air pollution with dashboards for city decision-makers.

Smart bins + route optimization that cut collection costs and prevent overflow with predictive routing.

Multi-agent LLM chatbot to automate municipal queries and dramatically shorten response times for citizens.

CV + RL system to optimize traffic signals in real time, reducing congestion and travel times.

Integrated epidemiological and social-signal analytics for early outbreak detection and faster response.
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