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Explainable AI credit scoring for 1.4B unbanked workers—turning everyday utility, UPI, and co-op signals into fair micro-loans, TreeSHAP transparency, and a 30-day counterfactual coaching plan.
An AI-powered payments and cash-flow assistant that helps small businesses manage invoices, track PayPal payments, identify collection risks, and improve cash-flow decisions.
Speak or type a civic complaint in Telugu, Hindi, Urdu or English. Awaaz replies in your language, routes it to the right department, flags danger and merges repeat reports.
NeuroPulse AI turns raw 6-channel EEG into real-time brain-state classification and anomaly detection, surfacing seizures/spikes with risk scoring and a live, downloadable clinical-style dashboard.
Community-powered flood early warning for Port Harcourt: AI analyses flood photos, remembers where water goes, and estimates risk from live rainfall.
Sakh scores gig workers and farmers with no credit history using UPI, bill and recharge habits, explains every decision, audits it for bias, and tells applicants exactly how to qualify next.
A case desk for loan officers that gives applicants with no credit bureau record a second, explainable look: 688 more approvals per 10,000 at the same default rate, and a person always decides.
An AI-assisted platform that analyses rainfall and terrain indicators to raise landslide risk awareness and support safer, better-informed community preparedness.
A fair, explainable credit score for people with no bank history, built from work, housing and loan signals, audited for fairness, in English, Bangla and Hindi.
It as an AI system using satellite imagery to detect illegal deforestation.
24/48-hour haze early warning for Malaysia's 67 DOE air-quality stations: calibrated Unhealthy-air alerts, 80% ranges, and the reason behind every forecast.
AirSource X forecasts PM2.5, compares pollution across Delhi monitoring stations, and investigates possible sources using transparent evidence, uncertainty, and interactive what-if analysis.
Serve IQ shows the serving habits of 447 pros from 2.47 million charted serves, how they change on break points, and charts new players from match video.
Explore IPL 2020–2025 by team, player, phase and matchup, then ask an AI analyst questions in plain English. Python, Streamlit, Plotly and Groq.
Explore IPL bowling matchups with a model that balances player profiles and head-to-head history, making small samples visible and historical comparisons easier
See who held the floor, who got cut off, and whose ideas got credited to someone else, then get private Gemma-powered coaching to lead the next meeting.
SupplyChainIQ predicts stock shortages early using real-time inventory, order and delivery data. It helps businesses reduce losses, avoid overstocking and make smarter purchasing decisions
Turning sports data into high-leverage insights.
Does being predictable cost an NFL offense points? We pre-registered the test, sealed two seasons, and report the honest answer: we can't tell yet.
Agentic AI investigates alerts, connects suspicious events, detects cyber threats, assesses risk, and recommends approved responses, helping organizations respond to attacks faster with real evidence.
Who should bowl the next over? IPL bowler matchup rankings with honest uncertainty ranges and low-confidence warnings.
A security-focused AI analytics platform combining guarded SQL execution, verifiable evidence, vulnerability scanning, and intelligent AI-agent defenses.
Visualise and compare how mechanical resistance changes throughout strength-training exercises using physics-based biomechanics and NVIDIA Nemotron AI.
Football Team Performance Analytics - EPL 2024/2025
