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Study how life evolved on Earth under diverse conditions to model how DNA and RNA might adapt and survive on other planets, revealing possibilities for extraterrestrial life.
Introducing a smart tool that accurately distinguishes HBV vs Non-Viral HCC and helps design genetic circuits, enabling smarter cancer detection and therapy.
Engineering mCherry–nanobody fusion proteins that specifically target HER2+ cancer cells and provide a bright red fluorescent readout for imaging and flow cytometry
NutriScope: A simple tool to predict hidden hunger risk and raise awareness about micronutrient gaps.
VioFlux: interactive epigenetic tuning for biosynthetic pathways: toggle CRISPRa/i or methylation per gene and get instant, bottleneck-aware flux & yield plus sensitivities that suggest the next edit.
AI-powered nail image analysis for quick, non-invasive anemia screening
AI-powered hidden hunger prediction achieving 99.9% F1 score, identifying multi-micronutrient deficiencies with WHO/FAO-compliant risk assessment for 2+ billion at-risk individuals globally.
HBV-driven liver cancer is challenging to detect early, even today. This project was targeted to combine clinical data and gene expression to predict HBV-related hepatocellular carcinoma.
A simple simulation of life's earliest building blocks, which compares how DNA and RNA behave under different planetary environments.
Built a graph-theory tool that measures brain network efficiency to reveal critical regions for resilience after damage.
Ayusynapse — Multimodal AI for reliable, auditable trial eligibility and accelerated enrollment.
Rivo—Evolution Meets Gameplay
Precision stratification of HBV-driven liver cancer using gene expression and clinical signatures
Follow the clues. Diagnose the disease
“An AI–organoid co-processor that predicts drug neurotoxicity before clinical trials — saving billions by catching brain-damaging side effects on day one.”
Our project simulates DNA vs RNA survival across diverse planetary environments, modeling stability, replication, and mutation to explore how life’s building blocks might behave beyond Earth.
"AI-Powered Skin Tumor Detection System - Making Professional-Grade Skin Health Screening Accessible to Everyone"
Devpost project
A minimal-gene, machine-learning pipeline that classifies HBV-related vs. non-viral liver cancer with high accuracy and deploys as an interactive Gradio app for instant predictions.
A data-driven lightweight pipeline, our project utilizes logistic regression to differentiate clinical data and random forest to assess gene expression on HBV-HCC and non-viral HCC cases
HepaClass helps tell apart liver cancers caused by hepatitis B from those that aren’t, using public data to find key patterns for earlier detection.
Oncology - Analysis on HBV-HCC and HCC
AI-powered app that enables colorblind users to see, create, and interact via real-time filters for camera, screen correction, and AI color recognition, redefining accessibility in creative fields.
“Turning probiotics into a living weapon against cancer.”
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