My First Blog Post
Posted on July 27, 2025
Why I Started Blogging
Blogging allows me to share my thoughts, experiences, and projects with the world. It's a great way to connect with others who share similar interests.
What to Expect
In this blog, you can expect to find a variety of content, including tutorials, project updates, and personal reflections on my journey as a web developer.
Join the Conversation
I encourage you to leave comments and share your thoughts on my posts. Let's learn and grow together in this amazing world of web development!
Stay Connected
🌐 Portfolio Project: Saroj Jha's Personal Website
Posted on July 27, 2025
This project showcases my skills and creativity through a fully responsive personal portfolio website.
📚 Project Title: Saroj Jha's Personal Portfolio Website
🌐 Purpose
To showcase my skills, background, projects, and creativity through a fully responsive website designed using HTML and CSS, with future plans to integrate JavaScript.
🌟 Features Implemented
- Homepage: Welcome message, image, navigation bar, responsive layout
- About Page: Timeline, personal info, project overview
- Projects & Gallery: Sketches and designs (planned)
- Contact: Social media & importance of connection
- Blog: Tutorials, experience, and updates
🎨 Design Elements
Used Google Fonts, hover effects, shadows, and layout containers. Meta tags for SEO and responsiveness included.
🚀 Deployment
- GitHub Pages hosting
- Custom domain via Namecheap: sarojjha.me
- DNS & TXT record configuration
🚫 Challenges
- Alignment issues on desktop view (fixed with containers)
- Image path problems (fixed using relative URLs)
- Domain verification (resolved through GitHub + Namecheap)
✅ Future Plans
- JavaScript enhancements (e.g., card tilt, transitions)
- Improve mobile and desktop views with media queries
- Dark/Light mode toggle
- Use animation libraries like AOS & Tilt.js
- Continue blogging regularly
📄 Status
Live: ✅ sarojjha.me
📝 Python based: Driver Drowsiness Detector
Posted on August 1, 2025
This project aims to create a Python application that detects driver drowsiness using computer vision techniques.
🛠️ Technologies Used
- Python
- OpenCV
- Haar Cascade Classifier
- NumPy
🎯 Key Features
- Real-time face and eye detection using webcam
- Triggers sound alarm if eyes are closed too long(50 frames)
- Lightweight and fast implementation
📷 Project Screenshot / Demo
🔗 GitHub Repository
You can view the full source code on my GitHub:
View Project on GitHub
📦 How to Run This Project
1. Clone the repo
2. Install OpenCV: pip install opencv-python
3. Run the script: python drowsiness.py
🔮 Future Improvements
- Add a GUI using Tkinter or PyQt
- Integrate with Raspberry Pi for portable use
- Connect alert with car speakers for louder notification
💡 What I Learned
- Working with OpenCV for computer vision
- Using Haar Cascades for eye detection
- Real-time video processing in Python
Thank You!
Thank you for visiting my Blog. I hope you enjoy this creative space and keep coming back for more!
← Back to Home |
Contact Me |
Explore Gallery