HomeDoctor

An innovative web app that makes shopping for home appliances and equipment easier and more transparent

HomeDoctor is an innovative web app that makes shopping for home appliances and equipment easier and more transparent. As the lead developer, my goal was to build a platform that helps people make smart buying choices without being swayed by ads.

Key Features

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Smart Questionnaire:

A dynamic set of questions that changes based on user responses, making sure the product suggestions are spot on.

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Expert Insights:

Built-in expert advice to guide users to the best products, based on real industry knowledge.

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Interactive Chat:

A chat feature that helps users in real-time, creating a more personalized shopping experience.

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Secure Accounts:

A user account system with safe login, password recovery, and profile management to keep user data private and secure.

My Contributions

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Front-End UI UX Design:

I oversaw creation of user-friendly interface that works smoothly across all devices, making it easy for anyone to use.

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Back-End Development:

I built the logic and systems that make the personalized recommendations work, ensuring the data is handled accurately and efficiently.

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Security Measures:

I implemented strong security features to protect user data, using advanced encryption and safe login methods.

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Privacy Compliance:

I made sure the system follows data privacy laws, protecting user information and respecting their privacy.

Impact

The finished product, HomeDoctor, is a clear example of how technology can provide a straightforward, user-first shopping experience. It highlights my skills in full-stack development and my dedication to creating practical, user-friendly web applications.

Technology Used

  • Backend is built using Python Django (Django Rest Framework)
  • Scraping is done using a combination of Python Requests, BS4 for static API data, and Selenium to load dynamic data.
  • Frontend is developed on Next.js to have features SSR, and improved SEO.
  • Backend Deployment is done on a ubuntu instance. Project is dockerized, using Gunicorn and NGINX to serve and route traffic.
  • Frontend Deployment was done on Vercel.

Our Recent Work

Whether you need a simple landing page, a complex e-commerce platform, or a cutting-edge AI solution, we have the skills and experience to deliver it.