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Sastha-Kumar-N/README.md

πŸ‘¨β€πŸ’» Sastha Kumar N.

AI Researcher β€’ Full-Stack Innovator β€’ Agri-Tech Visionary

"Biology’s complexity demands AI that thinks like Darwin and codes like Turing."


πŸš€ AI-Driven Research for Life Sciences & Agriculture

Bridging deep learning, IoT, and genomics to create intelligent, scalable solutions for global challenges.


🎯 Flagship Projects

🌾 DeepPlantGuard | Python OpenCV IoT

AI-powered crop disease detection system using CNN-based image classification and IoT sensor networks.

🧬 Bharat Genomic Atlas | PostgreSQL AWS Django

India’s first open-access genomic database for indigenous species, enabling AI-driven conservation strategies.

πŸ”¬ GenAI Toolkit | Deep Learning Genomic Pipelines Python

An AI-powered genomic data analysis suite integrating deep learning for mutation detection and functional annotation.


πŸ”¬ AI-Centric Research & Innovation

πŸ€– Transforming Agriculture with AI

  • πŸ“‘ Precision Farming: AI-powered sensor networks for autonomous crop health assessment
  • 🦠 Disease Prediction: CNN & GAN-based models for early plant disease identification
  • 🌱 Yield Optimization: AI-driven climate analysis and crop productivity forecasting
  • 🌾 Sustainable Agri-Tech: AI-powered IoT solutions for minimal resource farming

πŸ₯ AI for Healthcare & Bioinformatics

  • 🧬 Genomic AI: Deep learning for gene sequence analysis and mutation prediction
  • πŸ“Š Genomic Database Development: Scalable platforms for genomic data curation and annotation
  • 🩺 Medical Imaging: AI-assisted radiology for liver disease and metabolic disorder detection
  • πŸ§ͺ Drug Discovery: AI-powered molecular simulations for rapid biomarker identification

πŸš€ Frontiers of AI Research

  • πŸ›°οΈ AI & Remote Sensing: Leveraging satellite imagery for large-scale crop monitoring
  • πŸ“‘ Edge AI & TinyML: Running AI models on low-power IoT devices for real-time analytics
  • πŸ”„ Federated Learning: Privacy-preserving AI models for healthcare and agriculture
  • πŸ•΅οΈβ€β™‚οΈ Explainable AI (XAI): Enhancing interpretability of deep learning models in life sciences

πŸ› οΈ Execution Engine

How I Work

  • 🎯 Problem-First Approach: Start with real-world impact, then engineer solutions.
  • πŸ€– Automate & Optimize: Build pipelines, not one-off scripts.
  • πŸ“Š Data Storytelling: Translate models into actionable insights.

Current Learning

  • Advanced: Graph Neural Networks (GNNs) for protein folding
  • Exploring: TinyML for edge-based agricultural IoT
  • Mentorship Needs: Scaling AI models for production (MLOps)

🌍 Beyond Code

  • πŸ”’ Responsible Tech: Closing my late father’s finance business ethically, returning 100% of pledged assets.
  • πŸ’Ό Startup Vision: Actively seeking collaborators for AI-driven agri-tech ventures (β‚Ή1.5L seed fund ready).
  • πŸŽ“ Knowledge Sharing: Designing gamified leaderboards for student learning platforms.

🀝 Let’s Build the Future

πŸ”— Collaboration & Project Tie-Ups

  • πŸ”¬ Research Partnerships: Looking for academic and industry collaborators in AI-driven agriculture, genomics, and healthcare ML.
  • 🧬 Genomic Tool Development: Seeking partners to co-develop AI-powered genomic data analysis frameworks and predictive bioinformatics models.
  • πŸ“Š Genomic Database Creation: Collaborating on scalable, cloud-integrated genomic databases for AI-driven healthcare and conservation research.
  • 🚜 Agri-Tech Innovations: Open to partnerships with startups, research labs, and enterprises working on AI-powered smart farming, disease prediction, and sustainable food production.
  • πŸ“‘ IoT & AI Solutions: Seeking IoT and AI system integrators to develop real-time analytics platforms for agriculture and life sciences.
  • πŸ’» Open-Source Contributions: Actively contributing to and maintaining AI/ML projects for bioinformatics and smart agriculture.
  • πŸ“Š Funding & Entrepreneurship: Exploring funding opportunities and partnerships to commercialize AI-driven solutions for sustainable farming.

πŸ“© Let’s Connect: Reach out for collaborative projects, research tie-ups, and innovative AI-driven solutions.

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