// Team Achievements

Participants

• Shreyas M
• Harshavardhan K
• Ramanuja U K
• Jagannath Nayak

Problem Statement

Our team successfully developed PharmaGuard, an AI-driven pharmacogenomic risk prediction platform built during the RIFT 2026 HealthTech Hackathon.

Description

PharmaGuard analyzes patient genomic data (VCF files) to identify clinically significant variants across six critical pharmacogenes — CYP2D6, CYP2C19, CYP2C9, SLCO1B1, TPMT, and DPYD. Using this information, the system predicts personalized drug-response risks (Safe, Adjust Dosage, Toxic, Ineffective, or Unknown) for medications including Codeine, Warfarin, Clopidogrel, Simvastatin, Azathioprine, and Fluorouracil.

Platform Integrates

• Accurate genomic variant parsing
• CPIC-aligned dosing recommendations
• Structured clinical-grade JSON outputs
• LLM-powered explainable insights with biological reasoning
• A fully deployed, user-friendly web interface

Impact

PharmaGuard demonstrates how AI and genomics can work together to support precision medicine, improve drug safety, and potentially prevent life-threatening adverse drug reactions.

Transforming raw genetic data into actionable clinical intelligence through responsible, explainable AI.

Team Members

• Shreyas M
• Ramanuja U K
• Chethan R
• B Impanaa
• Harteij V K R

Problem Statement

Predicting and Easing City Congestion

Description

We developed a data-driven solution focused on predicting urban traffic congestion and delivering actionable strategies to reduce it. Our system uses a modular architecture that integrates real-time traffic monitoring with predictive analytics to help cities anticipate congestion before it escalates.

By analyzing traffic flow patterns and identifying high-risk congestion hotspots, the platform generates intelligent insights to support better traffic management decisions. The goal is to enable smarter urban mobility, reduce travel delays, and improve overall transportation efficiency.

Impact

Turning real-time traffic data into predictive intelligence for smoother, more sustainable city movement.