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Christopher D.

@delahoussayec

monthly-level-three.svg
5.0
15
3.8
3.8
94%

Full stack web & mobile developer & UI/UX designer

$40 USD / Hour
・
Flag of
Canada (6:47 AM)
・
Joined on April 22, 2021
$40 USD / Hour
・
Hi there I'm Christopher, a web designer and mobile developer with more than 4 years of experience. I can help you as a professional in these skills: • Product Designer: A creative visionary crafting intuitive user experiences and cohesive brand identities. Known for innovative solutions and a keen eye for detail. • Back-End Developer: Skilled in Php, Laravel, Docker, Django, Python, Linux, and deploying secure, high-performance applications. Experienced in building scalable APIs and writing clean, efficient code. • Front-End Developer: Expert in creating responsive and dynamic interfaces using React and Next js. Specialized in vue and nuxt js • Flutter Developer: Specialized in designing attractive and responsive user interfaces with a marketing perspective to optimize application flow. Over 200,000 downloads of designed applications in international markets. Experienced in integrating third-party APIs, implementing state management solutions, and utilizing various Firebase services, maintainable code focusing on performance and scalability. Passionate about creating seamless user experiences and continuously learning about the latest Flutter and Dart trends. • QA Engineer: Skilled in developing robust automated and manual testing solutions using tools like Playwright, Cypress, Appium, Selenium, JMeter, and K6. Proficient in API automation, writing coverage-based test cases, and creating detailed documentation to ensure high software quality and reliability. Passionate about enhancing testing efficiency, improving product performance, and delivering seamless user experiences through meticulous testing strategies. Together, we bring a comprehensive approach to every project, ensuring seamless integration between design and development. We’ve successfully delivered projects for clients in various industries, including tech startups, e-commerce, and healthcare. Let’s collaborate to bring your vision to life with our combined expertise!
Verifications
On time
100%
On budget
100%
Accept rate
54%
Repeat hire rate
15%
Freelancer Web Developers Canada
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Portfolio

Portfolio

12439246
MusicFlow is a modern music player application designed to enhance the user's audio experience. With features like real-time lyrics display, Spotify-based song recommendations, and a clean, intuitive design, the app provides a seamless and enjoyable experience for music lovers. Built using Flutter, MusicFlow is optimized for both Android and iOS, ensuring cross-platform compatibility and a highly responsive interface. Key Features: Real-Time Lyrics Display: MusicFlow automatically fetches and displays song lyrics in sync with the audio playback, creating an engaging experience for users who enjoy singing along. Smart Recommendations: Powered by Spotify API, the app suggests similar tracks based on the user's listening habits, helping users discover new favorites effortlessly. Advanced Search and Filtering: Users can search songs, playlists, artists, or albums and filter them by genre or other preferences, offering a personalized music library experience. Modern Interface: A sleek a
MusicFlow app
12439231
Gramtic is an intuitive mobile application designed for Instagram account management. With a user-friendly interface, it allows users to schedule posts and stories, automate messaging, and analyze hashtags effortlessly. Designed to cater to social media managers and influencers, it simplifies daily Instagram operations while offering professional tools for better engagement. Solving the main challenges: Time Management: Gramtic provides a post and story scheduler to help users maintain a consistent posting schedule without manual interventions. Hashtag Optimization: The app features a smart hashtag generator, allowing users to explore, select, and add the most trending hashtags to boost post visibility. Automated Interaction: With features like custom triggers and automated replies, Gramtic ensures smoother and faster responses, enhancing audience engagement. Seamless User Experience: A modern, organized layout with dark and light mode options ensures usability and comfort for all
Gramtic app
12439219
BeeaaB is an all-in-one health management app designed to empower users with actionable insights into their daily nutrition, physical activity, and overall well-being. With specialized features for monitoring micronutrient intake, tracking exercise routines, and providing essential information during pregnancy, BeeaaB ensures a holistic approach to health. The app also includes a vibrant social network for sharing recipes, real-time communication capabilities, and secure interactions with healthcare providers. Key Features: Nutrition Tracking: BeeaaB offers detailed analysis of micronutrient intake for each meal, helping users understand their daily nutritional balance. Fitness Monitoring: Track and manage physical activities with built-in tools to help users meet their fitness goals. Pregnancy Support: A dedicated section for pregnant users provides vital information, tailored recommendations, and real-time communication with healthcare providers. Social Networking: Users can shar
BeeaaB app
BeeaaB is an all-in-one health management app designed to empower users with actionable insights into their daily nutrition, physical activity, and overall well-being. With specialized features for monitoring micronutrient intake, tracking exercise routines, and providing essential information during pregnancy, BeeaaB ensures a holistic approach to health. The app also includes a vibrant social network for sharing recipes, real-time communication capabilities, and secure interactions with healthcare providers. Key Features: Nutrition Tracking: BeeaaB offers detailed analysis of micronutrient intake for each meal, helping users understand their daily nutritional balance. Fitness Monitoring: Track and manage physical activities with built-in tools to help users meet their fitness goals. Pregnancy Support: A dedicated section for pregnant users provides vital information, tailored recommendations, and real-time communication with healthcare providers. Social Networking: Users can shar
BeeaaB app
12427700
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
12427686
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
12427661
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
12439246
MusicFlow is a modern music player application designed to enhance the user's audio experience. With features like real-time lyrics display, Spotify-based song recommendations, and a clean, intuitive design, the app provides a seamless and enjoyable experience for music lovers. Built using Flutter, MusicFlow is optimized for both Android and iOS, ensuring cross-platform compatibility and a highly responsive interface. Key Features: Real-Time Lyrics Display: MusicFlow automatically fetches and displays song lyrics in sync with the audio playback, creating an engaging experience for users who enjoy singing along. Smart Recommendations: Powered by Spotify API, the app suggests similar tracks based on the user's listening habits, helping users discover new favorites effortlessly. Advanced Search and Filtering: Users can search songs, playlists, artists, or albums and filter them by genre or other preferences, offering a personalized music library experience. Modern Interface: A sleek a
MusicFlow app
12439231
Gramtic is an intuitive mobile application designed for Instagram account management. With a user-friendly interface, it allows users to schedule posts and stories, automate messaging, and analyze hashtags effortlessly. Designed to cater to social media managers and influencers, it simplifies daily Instagram operations while offering professional tools for better engagement. Solving the main challenges: Time Management: Gramtic provides a post and story scheduler to help users maintain a consistent posting schedule without manual interventions. Hashtag Optimization: The app features a smart hashtag generator, allowing users to explore, select, and add the most trending hashtags to boost post visibility. Automated Interaction: With features like custom triggers and automated replies, Gramtic ensures smoother and faster responses, enhancing audience engagement. Seamless User Experience: A modern, organized layout with dark and light mode options ensures usability and comfort for all
Gramtic app
12439219
BeeaaB is an all-in-one health management app designed to empower users with actionable insights into their daily nutrition, physical activity, and overall well-being. With specialized features for monitoring micronutrient intake, tracking exercise routines, and providing essential information during pregnancy, BeeaaB ensures a holistic approach to health. The app also includes a vibrant social network for sharing recipes, real-time communication capabilities, and secure interactions with healthcare providers. Key Features: Nutrition Tracking: BeeaaB offers detailed analysis of micronutrient intake for each meal, helping users understand their daily nutritional balance. Fitness Monitoring: Track and manage physical activities with built-in tools to help users meet their fitness goals. Pregnancy Support: A dedicated section for pregnant users provides vital information, tailored recommendations, and real-time communication with healthcare providers. Social Networking: Users can shar
BeeaaB app
BeeaaB is an all-in-one health management app designed to empower users with actionable insights into their daily nutrition, physical activity, and overall well-being. With specialized features for monitoring micronutrient intake, tracking exercise routines, and providing essential information during pregnancy, BeeaaB ensures a holistic approach to health. The app also includes a vibrant social network for sharing recipes, real-time communication capabilities, and secure interactions with healthcare providers. Key Features: Nutrition Tracking: BeeaaB offers detailed analysis of micronutrient intake for each meal, helping users understand their daily nutritional balance. Fitness Monitoring: Track and manage physical activities with built-in tools to help users meet their fitness goals. Pregnancy Support: A dedicated section for pregnant users provides vital information, tailored recommendations, and real-time communication with healthcare providers. Social Networking: Users can shar
BeeaaB app
12427700
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
This project aims to scrape data for the Most Popular Movies of 2024 from the IMDb website. The data will be collected from the following URL: IMDb Most Popular Movies 2024. The program will run every 5 seconds using the schedule library to continuously fetch the most up-to-date movie information. The scraped data will be saved in a CSV/Excel file for future reference. Libraries Used: BeautifulSoup (bs4) requests time schedule pandas
aims to scrape data
12427686
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
This project involves scraping data from a bookstore website, including the title, price, and ranking of books. It also downloads the images of the books and saves them using the book's name, which is specified in the src attribute of the <img> tag in the HTML content. Libraries used: os requests BeautifulSoup (bs4) pandas urllib.parse All images are saved in a folder called "images," which is created programmatically within the project’s folder. For testing the project, I scraped data from the first 5 pages, fetched the desired information, and saved the corresponding book images.
scraping data from a bookstore
12427661
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
Phase 1: Collect statistical data for each country, including Population, World Share, and Land Area, available at this link: https://www.worldometers.info/geography/how-many-countries-are-there-in-the-world/. Phase 2: Using the list of countries from Phase 1 (sorted by population), gather Coronavirus data for each country, including Cases, Deaths, and Recovered statistics, available at this link: https://www.worldometers.info/coronavirus/country/india/ (Example: India). Finally, merge all the collected data and export it to an Excel or CSV file. Project Outcome: Using libraries such as BeautifulSoup, Requests, and Pandas, I fetched statistical data for the first phase of the project. I created two lists: one for column titles and the other for each country's corresponding data. For gathering Coronavirus information in Phase 2, I used a for loop to iterate over the list of country names generated in the first phase. Since the titles of the data need to be fetched only once, I create
This project involves scraping data
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5.0 · 15 Reviews
Reviews
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Python/Django Project Deployment & API Integration • $29 USD
He is smart and friendly; I highly recommend working with him. He is focused on assisting and solving issues, with a strong ability to understand and explain situations clearly. His high level of understanding is a real advantage, allowing him to work perfectly. Thank you!
Orkhan R.
@orkhanrustamov
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Baku, Azerbaijan
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3 months ago
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Site Scraping Information for Football Clubs • $25 USD
The project is not completed according to the dispute
Alan M.
@lukkitecommerce
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Flag of
Abu Dhabi, United Arab Emirates
•
3 years ago
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Html Contact Form • $20 USD
Chris is a professional at what he does, i will definitely work with him again.
Christopher E.
@cedobor
•
Flag of
Garki, Nigeria
•
3 years ago
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S
Display live video from a public site on my webpage • $15 USD
pretty good me likey :-)
Scott H.
@shuges
•
Flag of
Vancouver, Canada
•
3 years ago
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Some feature need to add on wordpress blog • $100 NZD
He deliver project on time. Excellent work
Shushil T.
@Shushil12
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Flag of
Wellington, New Zealand
•
3 years ago
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