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ishanb18/README.md

Hi there, I'm Ishan Bansal πŸ‘‹

πŸŽ“ Electronics & Communication Engineer | πŸ€– AI/ML Engineer | ⚑ Tech Explorer | πŸš€ Always Learning

GitHub followers AI/ML Engineer ECE Engineer


πŸ§‘β€πŸ’» About Me

  • πŸŽ“ Pursuing B.Tech in Electronics & Communication Engineering
  • πŸ€– AI/ML Engineer specializing in intelligent systems and deep learning
  • πŸ”¬ Exploring Embedded Systems, AI/ML, and Full-Stack Development
  • πŸ’‘ Passionate about building AI-powered applications, circuits, IoT projects, and automation systems
  • 🌱 Currently working on innovative electronics + AI hybrid projects
  • ✍️ Documenting my journey and projects here on GitHub

πŸš€ Featured Project: AI-Powered Business Matchmaking Platform

🏒 foursqr_final - Most Significant AI/ML Project

A comprehensive full-stack platform that revolutionizes business connections by leveraging artificial intelligence, location intelligence, and machine learning-powered matchmaking.

🎯 What it does:

  • Connects property owners, franchise companies, and entrepreneurs using AI algorithms
  • Provides AI-powered market analysis and intelligent pricing recommendations
  • Offers machine learning-based business matching using Foursquare API
  • Features modern responsive web interface with real-time AI insights

πŸ› οΈ Tech Stack:

  • Backend: Python, FastAPI, SQLite
  • AI/ML: Mistral AI for intelligent recommendations and natural language processing
  • APIs: Foursquare Places API for location intelligence
  • Frontend: HTML5, CSS3, JavaScript, Bootstrap 5
  • Architecture: RESTful API design with AI-powered endpoints

✨ Key AI/ML Features:

  • πŸ—ΊοΈ Location Intelligence powered by Foursquare API
  • πŸ€– AI-powered business matchmaking using advanced algorithms
  • πŸ“Š Machine learning-based market analysis and pricing insights
  • 🧠 Natural Language Processing for business recommendations
  • πŸ‘₯ Intelligent user profiling (Property Owners, Franchises, Entrepreneurs)
  • πŸ“± AI-driven responsive recommendations for all devices
  • πŸ” Smart API management with AI-powered validation

🌟 Other Notable AI/ML & Tech Projects

🌾 Agroculture - AgTech AI Innovation

AI-powered agriculture assistant with market prices, weather insights, and multilingual voice I/O

  • AI/ML Tech: Natural Language Processing, Voice Recognition, Context-Aware AI
  • Features: Hindi/English voice interface, AI-driven market analysis, intelligent weather alerts
  • ML Models: Custom trained models for agricultural recommendations

πŸ›‘οΈ Phishing URL Detector - Cybersecurity AI

Machine learning-based system for detecting malicious URLs using advanced feature extraction and classification

  • AI/ML Tech: Supervised Learning, Feature Engineering, Classification Algorithms
  • ML Models: Logistic Regression, Random Forest, XGBoost
  • Features: Intelligent URL analysis, ML-powered threat detection, automated feature extraction

🧠 ANN Optimizer Comparison - Deep Learning Research

Comprehensive deep learning research analyzing different optimization algorithms on CIFAR-10 dataset

  • AI/ML Tech: Deep Neural Networks, Optimization Algorithms, Performance Analysis
  • ML Models: Custom ANNs with multiple optimizers (SGD, Adam, RMSprop, Momentum)
  • Features: Performance visualization, convergence analysis, model comparison

πŸ“‘ Arduino Frequency Detector - Embedded AI

Real-time digital signal processing with potential for AI-enhanced signal analysis

  • Tech: C++, Arduino, Embedded Systems, Signal Processing
  • Features: Real-time signal processing, interrupt handling, serial communication
  • AI Potential: Foundation for IoT + AI integration projects

πŸ”§ AI/ML & Tech Stack

πŸ€– AI/ML Technologies

TensorFlow Scikit-learn Pandas NumPy Matplotlib

πŸ’» Programming Languages

Python C++ C JavaScript Assembly

πŸš€ Frameworks & Technologies

FastAPI Jupyter Bootstrap Arduino

πŸ› οΈ Tools & Platforms

Git GitHub VS Code Colab

🎯 AI/ML Specializations

  • Machine Learning Engineering - End-to-end ML pipeline development and deployment
  • Deep Learning - Neural network architecture design and optimization algorithms
  • Natural Language Processing - Voice recognition, text analysis, and conversational AI
  • Computer Vision - Image processing and pattern recognition (CIFAR-10 expertise)
  • Predictive Analytics - Market analysis, demand forecasting, and business intelligence
  • Embedded AI - IoT + AI integration for smart systems
  • Full-Stack AI Development - AI-powered web applications with modern frameworks

πŸ“Š GitHub Analytics

GitHub Stats

Top Languages

GitHub Streak


πŸ† AI/ML Project Categories & Expertise

Category Projects AI/ML Technologies Business Impact
Full-Stack AI foursqr_final Mistral AI, NLP, Recommendation Systems High - Business Matchmaking
AgTech AI Agroculture Voice AI, Context-Aware ML, Market Prediction High - Agricultural Intelligence
Cybersecurity AI Phishing URL Detector Supervised Learning, Feature Engineering High - Security Automation
Deep Learning Research ANN Optimization Neural Networks, Optimization Algorithms Medium - Academic Research
Embedded AI/IoT Arduino Projects, 8051 Systems Signal Processing, Real-time AI Medium - Smart Hardware
Data Science IPL Analysis, Statistical Models Data Mining, Visualization, Analytics Medium - Business Intelligence

πŸ€– AI/ML Engineering Approach

🎯 Business-Focused AI Solutions: Developing AI systems that solve real-world problems with measurable impact
🧠 End-to-End ML Pipeline: From data collection and preprocessing to model deployment and monitoring
πŸ”§ Full-Stack AI Integration: Seamlessly embedding AI capabilities into modern web and mobile applications
πŸ“Š Data-Driven Intelligence: Using advanced analytics and machine learning for intelligent decision-making
🌐 Scalable AI Architecture: Building robust, maintainable AI systems following industry best practices
πŸš€ Emerging Tech Integration: Leveraging cutting-edge AI technologies like LLMs, voice processing, and computer vision


✨ What Makes My AI/ML Projects Special

🎯 Real-World Impact: AI solutions that address practical business and social challenges
πŸ€– Intelligent Integration: Combining multiple AI technologies for comprehensive solutions
πŸ”§ Cross-Domain Expertise: AI applications across AgTech, FinTech, Cybersecurity, and IoT
πŸ“Š Performance Optimization: Focus on model efficiency, accuracy, and deployment readiness
🌐 Modern AI Stack: Using state-of-the-art tools like Mistral AI, FastAPI, and advanced ML frameworks
πŸ§ͺ Research-Driven: Continuous experimentation with new algorithms and optimization techniques


🎯 Current AI/ML Goals & Learning

  • 🧩 Mastering Large Language Models (LLMs) and Generative AI applications
  • ⚑ Building AI-powered IoT systems and edge computing solutions
  • πŸš€ Exploring MLOps and AI system deployment at scale
  • 🌱 Contributing to open-source AI projects in AgTech and sustainable technology
  • πŸ”¬ Researching optimization algorithms and neural architecture search
  • πŸ“± Developing AI-mobile applications with real-time inference capabilities

πŸ“« Let's Connect & Collaborate!

I'm always excited to collaborate on AI/ML projects, discuss cutting-edge technology, or share knowledge about artificial intelligence and engineering!

LinkedIn Email GitHub AI Portfolio


πŸ€– Building the future with Artificial Intelligence, one model at a time! πŸš€

"Where Electronics Engineering meets Artificial Intelligence - Creating intelligent systems that matter."

AI Engineer ECE Engineer

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