class AIBioinformatician:
def __init__(self):
self.name = "Jahnavi G Bedre"
self.education = "M.Sc. Bioinformatics @ REVA University (2026)"
self.passion = ["AI", "Machine Learning", "Computational Biology"]
self.current_focus = ["Drug Discovery AI", "Genomic ML", "Bio-AI"]
self.motto = "Bridging AI and Life Sciences 🌉"
def get_skills(self):
return {
"ai_ml": ["TensorFlow", "PyTorch", "Scikit-learn", "Keras"],
"bioinformatics": ["BLAST", "Clustal", "NGS", "Phylogenetics"],
"programming": ["Python", "R", "JavaScript", "SQL"],
"specialization": "AI-driven biological solutions"
}
def life_goal(self):
return "Revolutionize healthcare through AI × Biology! 🎯"
 🤖 AI/ML in Biology Deep Learning for Biological Systems |
 🧬 Computational Genomics AI-Driven Genome Analysis & Interpretation |
 💊 AI Drug Discovery ML Pipelines for Compound Prediction |
 📊 Biodata Analytics Pattern Recognition in Biological Datasets |
🎯 AI-Driven Drug Discovery for HBV-HBx 
🔬 Machine Learning Pipeline for Hepatitis B Treatment Discovery
- 🤖 ML Models: Built predictive models for bioactive compounds against HBV-HBx protein
- 🧬 Molecular Docking: Implemented AI-optimized docking simulations
- 📊 Screening Pipeline: Created automated high-throughput screening system
- 💡 Innovation: Combined deep learning with traditional computational chemistry
Tech Stack: Python TensorFlow RDKit AutoDock Pandas Matplotlib
📊 AI-Enhanced Genomic GC Content Analyzer 
🧬 Intelligent Genome Composition Analysis Tool
- 🎯 Smart Analysis: ML-powered GC content pattern recognition
- 🧠 Clustering: AI-driven identification of compositional regions
- 📈 Visualization: Interactive genomic insights dashboard
- 🔍 Pattern Discovery: Automated detection of genomic anomalies
Tech Stack: Python Scikit-learn Matplotlib Seaborn BioPython
🌐 BioResearch Collaboration Hub 
💬 Real-time Platform for Computational Biology Teams
- 🚀 Real-time Chat: Built with Flask + Socket.IO for instant communication
- 📁 File Sharing: Specialized for biological datasets and analysis results
- 🧬 Bio-specific Features: Discussion threads for genomics projects
- 🔒 Secure: Encrypted data handling for sensitive research data
Tech Stack: Flask Socket.IO JavaScript MySQL Bootstrap
🎮 Evolutionary AI Gaming Suite 
🧠 Bio-Inspired Intelligent Game AI Systems
- 🎯 Deep Q-Learning: Advanced Tic-Tac-Toe AI with neural networks
- ♟️ Chess Intelligence: Stockfish-powered strategic gameplay
- 🧬 Genetic Algorithms: Evolutionary strategy optimization
- 📊 Performance Analytics: Real-time learning curve visualization
Tech Stack: Python TensorFlow Reinforcement Learning Stockfish Pygame
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graph TB
A[🧬 Current: Advanced Genomics] --> B[🤖 Next: Transformer Models]
B --> C[🔬 Goal: Graph Neural Networks]
C --> D[💊 Vision: AI Drug Discovery]
D --> E[🌟 Impact: Precision Medicine]
style A fill:#e1f5fe,color:#000000
style B fill:#f3e5f5,color:#000000
style C fill:#e8f5e8,color:#000000
style D fill:#fff3e0,color:#000000
style E fill:#fce4ec,color:#000000
- 🧠 Transformer Models for protein sequence analysis
- 🔬 Graph Neural Networks for molecular property prediction
- 📊 Multi-modal AI for integrating different biological data types
- 🧬 CRISPR-AI for guide RNA design optimization
- 🏆 Complete Advanced Deep Learning Specialization
- 📝 Publish research paper on AI in genomics
- 🤝 Contribute to major bioinformatics open-source project
- 💊 Develop end-to-end drug discovery AI pipeline
- 🌟 Mentor fellow AI + Bio enthusiasts
⭐ Star my repositories if you find them interesting! ⭐