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AdilzhanB/README.md

πŸ‘‹ Hey there! I'm Adilzhan Baidalin

Typing SVG

Profile Views GitHub followers GitHub Stars


πŸš€ About Me

I'm a Computer Science Student passionate about Artificial Intelligence and *Machine Learning. Currently exploring the fascinating world of Computer Vision, Natural Language Processing, and LLMs while continuously learning and building projects.

class AdilzhanBaidalin:
    def __init__(self):
        self.username = "AdilzhanB"
        self.role = "Computer Science Student"
        self.location = "Kazakhstan πŸ‡°πŸ‡Ώ"
        self.status = "Learning & Building"
        
        self.interests = [
            "🧠 Artificial Intelligence & Machine Learning",
            "🌐 Full-Stack Web Development",
            "πŸ‘οΈ Computer Vision",
            "πŸ’¬ Natural Language Processing"
        ]
        
        self.currently_learning = [
            "Deep Learning with PyTorch",
            "React and modern web technologies",
            "Cloud computing and deployment"
        ]
        
        self.languages = ["Python", "C++", "JavaScript", "TypeScript"]
    def get_motto(self):
        return "Continuous learning, consistent practice, constant improvement! πŸ“ˆ"

πŸ“Š GitHub Analytics

GitHub Stats

Top Languages

πŸ”₯ Contribution Streak

GitHub Streak

πŸ“ˆ Contribution Activity

Activity Graph

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πŸ› οΈ Tech Stack & Tools

Programming Languages

Python C++ JavaScript TypeScript

AI/ML & Data Science

PyTorch TensorFlow Scikit-learn OpenCV Pandas NumPy Jupyter Transformers

Web Development

React Node.js Express.js FastAPI Flask Tailwind CSS

Tools & Platforms

Git GitHub VS Code Docker


πŸš€ Featured Projects & Research

πŸ’Ό Portfolio Highlights

Exploring AI, Machine Learning, and Data Science through practical applications


🌊 EcoSpillAI - AI-Powered Environmental Protection

EcoSpillAI HTML JavaScript AI/ML

Advanced AI solution for oil spill cleanup optimization that combines machine learning algorithms with real-time environmental data analysis. The system provides intelligent prediction capabilities for spill progression, optimal resource allocation, and minimizes ecological damage through data-driven decision making.

🎯 Key Features:

  • 🧠 Predictive analytics for spill behavior modeling
  • πŸ“Š Real-time environmental impact assessment
  • ⚑ Automated cleanup strategy optimization
  • 🌍 Interactive web-based monitoring dashboard

πŸ“ˆ StockRL - Reinforcement Learning Trading Agent

StockRL Python PyTorch RL

Intelligent trading system powered by reinforcement learning that learns optimal trading strategies through market interaction. Implements state-of-the-art RL algorithms (DQN, PPO, A3C) to maximize portfolio returns while managing risk in dynamic financial markets.

🎯 Key Features:

  • πŸ€– Deep Q-Network and Policy Gradient methods
  • πŸ“Š Advanced feature engineering with technical indicators
  • πŸ’° Risk-adjusted portfolio optimization
  • πŸ“ˆ Backtesting framework with performance metrics

πŸ₯ Medical-QA-Model - Healthcare AI Assistant

Medical QA Python Transformers NLP

Specialized natural language processing model designed for medical question answering. Built using transformer architecture and fine-tuned on medical literature, providing accurate and contextual responses to healthcare-related queries with proper medical terminology understanding.

🎯 Key Features:

  • 🧠 BERT/BioBERT fine-tuning for medical domain
  • πŸ“š Trained on comprehensive medical datasets
  • βš•οΈ Accurate medical terminology and context understanding
  • πŸ” Semantic search capabilities for medical knowledge

⚑ UCI Power Consumption Analysis - Smart Energy Analytics

Power Analysis Python Pandas Plotly

Comprehensive time-series analysis of household electricity consumption patterns using the UCI dataset. Employs advanced statistical methods and machine learning techniques to identify consumption trends, anomalies, and predictive patterns for energy optimization.

🎯 Key Features:

  • πŸ“Š In-depth exploratory data analysis with visualizations
  • πŸ”„ Time-series forecasting models (ARIMA, Prophet, LSTM)
  • πŸ” Anomaly detection and pattern recognition
  • πŸ’‘ Energy consumption optimization recommendations

πŸ›°οΈ Swin-EuroSAT - Satellite Image Classification

Swin EuroSAT Python PyTorch Computer Vision

State-of-the-art computer vision project implementing Swin Transformer architecture for land use classification using the EuroSAT dataset. Achieves high accuracy in categorizing satellite imagery into different land cover types through hierarchical vision transformers.

🎯 Key Features:

  • πŸ—οΈ Swin Transformer implementation from scratch
  • 🎯 Multi-class land use classification (10 categories)
  • πŸ“ˆ Advanced data augmentation and preprocessing
  • πŸ”¬ Transfer learning with pre-trained weights

🎯 Project Impact Summary

🌍 Environmental
AI for ocean protection
🌊 EcoSpillAI

πŸ’° Financial
Smart trading systems
πŸ“ˆ StockRL

πŸ₯ Healthcare
Medical AI assistance
βš•οΈ Medical-QA

⚑ Energy
Smart consumption analytics
πŸ”‹ Power Analysis

πŸ›°οΈ Earth Observation
Satellite image analysis
🌍 Swin-EuroSAT

πŸš€ Technical Expertise Demonstrated

Deep Learning NLP Computer Vision Reinforcement Learning Data Science Web Development

πŸ’‘ Innovation Focus Areas

  • πŸ€– Artificial Intelligence & Machine Learning
  • 🌍 Environmental Technology & Sustainability
  • πŸ’Ή Quantitative Finance & Algorithmic Trading
  • πŸ₯ Healthcare Technology & Medical AI
  • πŸ“Š Data Science & Analytics

🌟 Each project represents a journey of learning, experimentation, and practical application of cutting-edge technologies to solve real-world problems.

🀝 Let's Connect & Collaborate!

πŸ’Ό Professional Links

LinkedIn Gmail GitHub

🌐 Social

Instagram

πŸ“« Open to:

  • 🀝 Collaboration on AI/ML and web development projects
  • πŸ’‘ Learning opportunities and mentorship
  • 🎯 Competitive programming practice partners
  • πŸ“š Study groups for computer science topics
  • πŸš€ Internship opportunities in tech companies

Thanks for visiting! Always excited to connect with fellow developers and learners! πŸš€


⭐️ From AdilzhanB - Learning, building, and growing every day ⭐️

Pinned Loading

  1. MCP-Client-distributor-chat MCP-Client-distributor-chat Public

    MCP Client Distributor Chat is a comprehensive Model Context Protocol (MCP) client application that enables seamless connection to multiple MCP servers and interactive communication with AI agents.…

    Python

  2. MCP_sentiment_analysis_server MCP_sentiment_analysis_server Public

    MCP Sentiment Analysis Server is a cutting-edge, robust sentiment analysis solution built on the Model Context Protocol (MCP). This powerful server provides real-time sentiment analysis capabilitie…

    Python 3

  3. MCP_PR_server MCP_PR_server Public

    MCP tool for automatic pull requests, provided as CLI and Web service

    Python

  4. StockRL StockRL Public

    Stock desicion's based RL model

    Jupyter Notebook 11 2

  5. ConvNext-asl ConvNext-asl Public

    This project implements fine-tuning of ConvNeXt models for American Sign Language (ASL) alphabet classification using the Kaggle ASL alphabet dataset.

    Python

  6. Medical-QA-model Medical-QA-model Public

    This model is a fine-tuned version of Google's T5 (Text-to-Text Transfer Transformer) optimized for medical question-answering tasks using Low-Rank Adaptation (LoRA) technique. The model demonstrat…

    Jupyter Notebook