🚀 Third-year Engineering Student | 🔬 AI & IoT Innovator | 💡 Problem Solver
Welcome to my GitHub! I build real-world tech solutions using AI, ML, IoT, and full-stack development. I work solo on most projects, from idea to deployment, and love contributing to smart systems for social impact.
- 💻 Languages: Python, Java, JavaScript , C
- 🤖 Machine Learning: YOLOv8, OpenCV, scikit-learn, Pandas, Numpy, decision tree, Random forest ,CNN
- 🌐 Web Development: HTML, CSS, JavaScript, Django
- 📡 IoT Systems: Arduino, Sensor Automation,ESP32
- 🔗 APIs: Google Maps, Weather, TrafficLand , OpenAI API key,Gemini API key , RestAPI's
🚦 Smart Traffic Prediction System
An intelligent traffic monitoring and optimization system.
Real-time vehicle detection from CCTV using YOLOv8
Dynamic congestion analysis and traffic density estimation
Google Maps integration for live traffic visualization
Automatic video feed switching based on traffic load
Scalable architecture for smart city deployment
⚡ IoT-Based Smart Electricity Saver
An energy optimization system using IoT sensors and automation.
Motion-sensor-based automatic light and appliance control
Real-time power consumption monitoring
Intelligent scheduling to reduce electricity waste
Designed for homes, offices, and industrial environments
🌦️ Weather Forecast Web App
A responsive web application for real-time weather updates.
Live weather data using REST APIs
Location-based forecasting
Temperature, humidity, wind speed, and condition reports
Clean UI with dynamic weather visualization
😊 Facial Emotion Detector
A machine learning-based facial expression recognition system.
Real-time face detection using OpenCV
Emotion classification model trained on facial datasets
Detects emotions such as happy, sad, angry, surprise, and neutral
Applications in surveillance, user experience analysis, and mental health research
🤖 AI Automation Chatbot
An intelligent automation assistant that combines conversational AI with powerful web and desktop control capabilities.
AI-powered chat using Google Gemini for context-aware conversations
Web automation with Selenium including navigation, scraping, and form interaction
Desktop automation using PyAutoGUI for mouse, keyboard, and screenshot control
Secure file reading and AI-based content analysis
Multiple interfaces: Flask web app, Streamlit UI, and command line version
Cross-platform support for Windows, macOS, and Linux
Tech Stack: Python, Flask, Streamlit, Selenium, BeautifulSoup, Requests, PyAutoGUI
- Selected for University-Level AI + IoT Project Representation
- Built 8 full-scale projects independently
- Recognized for leadership and problem-solving at ADCET
- Member of GDGC in web development
- Member E-yantra at ADCET Ashta
- Selected and Participate in Avishkar Season 3 Hackathon
- Selected for DEPEX 2026
📫 Let’s connect:
🔗 LinkedIn
⭐️ Star and follow if you're interested in practical AI + IoT integrations!