Personal Portfolio Website

Mohamed Wassim Hamra

Development Process:

So, here's the scoop on how this website came to life:

🎨 Custom Design:

I started with a template from uicookies as my canvas and transformed it to align with my vision. The HTML and CSS code underwent significant modifications to match my preferences and what I like.

πŸš€ Bootstrap and jQuery:

To add specific elements and enhance user interactions, I used Bootstrap and jQuery. This allowed me to create a visually engaging UI/UX.

🐍 Python & Django Backend:

Powered by Django V4.2 and Python, the backend ensures data processing and content administration.

πŸ“© Messages Management:

I used the integrated python library smtplib to automatically send a personalized email to my personal account to notify me about new newsletter subscribers or new messages from the contact me page that was also stored in a mysql database.

🌐 Dependable Hosting:

Originally hosted on Heroku, I later transformed the website into a static version to take advantage of the free web hosting provided by GitHub Pages.

πŸ‘¨πŸΎβ€πŸ’» IDE of Choice:

Throughout the development process, I used PyCharm for its seamless version control integration and powerful backend support, making it easier to manage and organize the project.

If you want to see the code for this project, you can visit the associated Github page here:


GitHub

I created this website to showcase my work experience, projects, and skills as an AI engineer. While LinkedIn and other professional networks serve this purpose, I felt a personal website would offer more flexibility and allow me to provide clearer descriptions of my projects. It’s also, in my opinion, a great way to stand out from the crowd and demonstrate that I can build solutions beyond my core field of expertise.

Front-End

HTML\CSS | JavaScript | Bootstrap | JQuery

Deployment

GitHub Pages

Version Control

git & GitHub

IDE

Pycharm

More Projects

Mohamed Wassim Hamra

Health Center

Predictive Modeling | Web Development

A web application that uses predictive models to evaluate the risk for various diseases. Users input their health information, and they get personalized risk assessments and lifestyle recommendations to improve their health.

View details

Explore More on GitHub!

These are some of my featured projects. To explore additional projects not listed here, visit my GitHub profile.

GitHub