Introducing GeneTrust: Next-Gen Gene Editing Lab Assistant
GeneTrust integrates AI, IoT, and blockchain to revolutionize gene editing workflows.
From guide RNA design to secure data management, GeneTrust enhances precision and reliability.
Team GeneX :-
-Achyut Mukund
-Ronit Raj
-Madhav Mittal
-Vishwesh Pal Saini
Custom ML Model for Gene Editing
Pretrained DNABERT
Foundation model for understanding DNA sequences with contextual learning.
Integrated Deep-CRISPR Deep-Cas9 Architectures
Advanced structures tailored for predicting optimal gene editing outcomes.
Custom-Trained by Our Team
Enhances guide RNA design precision and minimizes off-target effects.
Research-Driven Model
Enhancement
OnchainKit & Wallet for Secure Data Encryption
The application offers a blockchain-based solution for tracking and managing genome data, experimental results, and CRISPR research. Since genomic data is highly sensitive, blockchain ensures its immutability and security. Thus, data is getting secured using onchain wallet making it a blockchain based solution for tracking and managing genome data, experimental results, and CRISPR research. The smart contracts enable using onchain kit wallet:
🔹 Sample provenance tracking for genetic samples
🔹 Experimental data auditing for CRISPR gene editing
🔹 Access control and permissions for sensitive genetic data
🔹 Workflow automation for research approval processes
🔹 Intellectual property protection for genetic discoveries
Synapse AI Assistance with Groq AI
Chat
Powering conversational interactions in the AI assistant hub and potentially other features.
Onboarding
Guiding new users through a personalized setup chat.
Explanations and Insights
Data Analysis and Command interpretation
Generating natural language explanations for complex data.
Interpreting lab commands and deriving insights from sensor data.
Real-Time IoT Monitoring & Complete System Overview
IoT equipment is deployed to monitor real-time environmental conditions in the lab, as maintaining optimal parameters is essential during gene editing. The devices used include:
Arduino UNO – main microcontroller, connecting and controlling all sensor modules.
DHT11 – monitoring temperature and humidity to maintain ideal conditions for gene editing.
MQ135 – detection of air quality to ensure safe and sterile lab environment.