My Projects
CIGIN - Chemical Interpretable Graph Interaction Networks
- Enhanced graph neural network architecture for chemical property prediction with improved stability and interpretability
- Implemented advanced fault tolerance mechanisms including gradient clipping, loss normalization, and comprehensive error handling
- Developed transformer-based aggregation module with configurable attention heads to outperform traditional Set2Set pooling
- Restructured codebase following PEP-8 standards with rich-style logging and JSON structured outputs for better debugging
PyTorch
DGL
Graph Neural Networks
Transformer Architecture
Chemical Informatics
Python
Molecular Dynamics Analysis of Protein 1a62_A
- Conducted all-atom molecular dynamics simulations on protein 1a62_A utilizing Dynamic PDB dataset
- Extracted and analyzed atomic coordinates, velocities, and forces using Python libraries (MDAnalysis, NumPy)
- Employed Linux-based high-performance computing environments for data processing tasks
MDAnalysis
NumPy
Python
HPC
Linux
Computational Chemistry
AI-Driven Glycemic Risk Prediction and Health Management System
- Built ML model with 88% accuracy for diabetes risk prediction from patient records
- Integrated Gemini AI for personalized lifestyle recommendations, increasing user engagement by 50%
- Developed a Gradient Boosting Classifier for diabetes risk prediction with high accuracy
Python
Machine Learning
Gemini AI
Healthcare AI
Gradient Boosting
Video demonstration of the AI-Driven Glycemic Risk Prediction project
AI-Powered Forex Trading Dashboard
- Developed end-to-end AI trading system analyzing forex market patterns with 62% accuracy
- Implemented 20+ technical indicators with Pandas/NumPy for comprehensive signal validation
- Created an intuitive dashboard interface for real-time market analysis and trading signals
Python
Pandas
NumPy
Machine Learning
Financial Analysis
Japanese to English Neural Machine Translation
- Developed Flask-based translation application achieving 32 BLEU score for Japanese-English translations
- Optimized inference speed by 35% through quantization and multi-threading techniques
- Built a modular project structure with potential for cloud deployment
Python
Flask
MBART
NLP
HuggingFace
License Plate Detection and Recognition
- Implemented a computer vision-based model to detect license plates from car images
- Used OCR techniques to extract and recognize text from the detected plates
- Built a user-friendly interface for real-time plate detection and recognition
Python
Computer Vision
OCR
Deep Learning
Japanese-to-English Video Dubbing Using BERT and Open Voice
- Developed an automated system for translating and dubbing Japanese videos into English
- Used BERT for high-quality translations and Open Voice for natural-sounding English dubbing
- Research paper accepted at ICMED 2025 conference
BERT
Open Voice
NLP
Speech Synthesis
Machine Translation
Pest Detection in Crops
- Analyzed 19,404 rice pest entries, identifying patterns through visualizations and reducing the dataset to 9,126 entries
- Preprocessed data for machine learning models (Logistic Regression, SVM, AdaBoost, Random Forest) to achieve high accuracy in pest detection
- Developed a system to help farmers identify and address pest infestations early
Python
Machine Learning
Data Analysis
Agricultural Technology