π B.Tech in Computer Science & Technology
π€ AI / Machine Learning & Computer Vision Enthusiast
π» Passionate about building real-world, impact-driven software solutions
I'm a Computer Science undergraduate with strong hands-on experience in AI, Machine Learning, Computer Vision, and Full-Stack development.
I enjoy turning ideas into working products β from intelligent traffic systems to AI-powered resume analysis tools.
I actively participate in hackathons, work on end-to-end projects, and focus on writing clean, scalable code.
- Programming: Python, C, C++, JavaScript
- AI / ML: Machine Learning, Deep Learning, YOLOv8, Model Training & Evaluation
- Computer Vision: OpenCV, Image Processing, Object Detection
- Web Development: Flask, FastAPI, HTML, CSS
- Automation & Tools: PyAutoGUI, System Automation, APIs
- Databases: MongoDB
- Other: Git, GitHub, PDF Report Generation, REST APIs
π AI-powered web application using Google Gemini API
- Compares resumes with job descriptions
- Generates compatibility scores and improvement suggestions
- Produces downloadable PDF reports
π Repository: resume_analyser
π¦· AI-powered dental issue detection system
- Built using YOLOv8, OpenCV, and Deep Learning
- Detects dental issues from X-ray images
- Designed during a national-level hackathon
π Repository: dental_detection
π¦ AI-based real-time traffic analysis solution
- Uses YOLOv8 for vehicle detection
- Dynamically optimizes traffic signal timings
- Focused on reducing congestion and improving road efficiency
π Repository: SmartFlow
π€ Python-based automation system
- Remote system control via WhatsApp
- Performs screen actions, monitoring, and automation
- Built using PyAutoGUI and OpenCV
π Repository: HOMI
- Advanced Computer Vision
- Model optimization & deployment
- Scalable backend architectures
- Real-world AI system design
- πΌ Open to internships, hackathons, and collaborative projects
- π« Reach me through GitHub
β If you find my projects useful, consider starring them!
"Build things that solve real problems β learning follows naturally."