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Reda E.

@elhadfi

monthly-level-three.svg
5,0
36
5,6
5,6
92%

Software engineer | Automation | LLMs

$30 USD / hodinu
・
Pochází z
Morocco (12:19 dop.)
・
Připojen července 25, 2023
$30 USD / hodinu
・
I'm an Artificial Intelligence engineer with a strong focus on AI, NLP, and automation. I specialize in developing cutting-edge projects using advanced technologies such as Langchain, GPT-3, GPT-4, Open source LLMs, and other powerful models. My expertise lies in creating AI-powered solutions for various industries, including SaaS web and mobile applications. If you have challenging projects that require AI, NLP, telegram bots, or web development expertise, I am confident in delivering high-quality solutions tailored to your needs. Let's collaborate and bring your ideas to life! Moreover, my software engineering skills encompass a wide range of capabilities. I excel in designing and implementing robust software architectures, ensuring scalable and maintainable codebases. My proficiency in various programming languages and frameworks enables me to tackle complex problems and deliver innovative solutions. I am adept at full-stack development, from crafting intuitive user interfaces to building efficient backend systems. My expertise includes web development technologies such as HTML, CSS, JavaScript, React, Node.js, and Python. With a passion for continuous learning and staying up-to-date with the latest industry trends, I strive to provide exceptional value and drive success in every project I undertake.
Ověření
Na čas
100 %
Dle rozpočtu
99 %
Přijmout sazbu
73 %
Opakovat nájemní sazbu
10 %
Freelancer Python Developers Morocco
Zobrazit všechny Python Developers v Morocco

Portfolio

Portfolio

11930557
The fluctuations in GameStop's stock price and the increasing number of cryptocurrency exchanges have brought significant attention to the stock market. Stock and Twitter Data Extraction Using Python As someone passionate about the markets, I embarked on a project to develop a tool inspired by Cashtag, created by a Reddit developer. My objective is to build a "big data pipeline for user sentiment analysis on the US stock market." This project uses social media data to offer real-time predictions of market sentiment. The workflow of this project is illustrated in the following diagram:
Stock and Twitter Data Extraction Using Python,Kafka,Spark
11511368
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
11511324
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
11511292
AI Prompt Saver is a powerful web application designed for developers to streamline their AI-generated prompts. Developed using Next.js and deployed on Vercel, this tool empowers users to save, organize, and share their AI prompts effortlessly. The integration of Google authentication provides a seamless and secure experience, allowing developers to access and manage their saved prompts with ease. Whether you're collaborating with a team or working individually, AI Prompt Saver is your go-to solution for efficient prompt management in the world of artificial intelligence. Key Features: Prompt Saving: Save and organize your AI-generated prompts for quick access. Google Authentication: Securely log in and manage your prompts with Google authentication. Collaboration: Share prompts with team members for collaborative projects. Next.js Framework: Built with the powerful Next.js framework for a robust and responsive user experience. Vercel Deployment: Deployed on Vercel for reliable hosti
AI Prompt Saver
AI Prompt Saver is a powerful web application designed for developers to streamline their AI-generated prompts. Developed using Next.js and deployed on Vercel, this tool empowers users to save, organize, and share their AI prompts effortlessly. The integration of Google authentication provides a seamless and secure experience, allowing developers to access and manage their saved prompts with ease. Whether you're collaborating with a team or working individually, AI Prompt Saver is your go-to solution for efficient prompt management in the world of artificial intelligence. Key Features: Prompt Saving: Save and organize your AI-generated prompts for quick access. Google Authentication: Securely log in and manage your prompts with Google authentication. Collaboration: Share prompts with team members for collaborative projects. Next.js Framework: Built with the powerful Next.js framework for a robust and responsive user experience. Vercel Deployment: Deployed on Vercel for reliable hosti
AI Prompt Saver
11930557
The fluctuations in GameStop's stock price and the increasing number of cryptocurrency exchanges have brought significant attention to the stock market. Stock and Twitter Data Extraction Using Python As someone passionate about the markets, I embarked on a project to develop a tool inspired by Cashtag, created by a Reddit developer. My objective is to build a "big data pipeline for user sentiment analysis on the US stock market." This project uses social media data to offer real-time predictions of market sentiment. The workflow of this project is illustrated in the following diagram:
Stock and Twitter Data Extraction Using Python,Kafka,Spark
11511368
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
In my year-end project titled 'Reconnaissance Optique de Caractères (OCR) appliquée aux documents administratifs marocains' (Optical Character Recognition applied to Moroccan administrative documents), I successfully addressed the evolving landscape of administrative and document management by developing an innovative OCR-based solution. The primary goal was to simplify and automate the data entry process for administrative documents, specifically the Moroccan ID card. The intuitive application I created allows human resources to effortlessly input new employee information by simply scanning their ID cards. Leveraging OCR and advanced image processing techniques, the application automatically extracts relevant data, generating a comprehensive work card with all necessary information. A key feature is the seamless integration with a centralized database, ensuring efficient and secure information management. The project utilized Python, easy-ocr, Tkinter, PIL, Image, OpenCV, numpy.....
OCR applied to moroccan administratif documents
11511324
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
Implemented an advanced solution for potato disease classification encompassing Potato Early Blight, Potato Late Blight, and Potato Healthy Leaf classes. The project comprises four key steps outlined in the paper: data acquisition, pre-processing, data augmentation, and image classification. Leveraging React and FastAPI, I enhanced the project with an intuitive interface, providing users with a seamless experience for uploading images and obtaining accurate disease classifications. This integration of cutting-edge classification techniques with a user-friendly interface demonstrates the project's innovation in both backend classification processes and frontend accessibility.
End to End Potato Leaf Disease Prediction Project
11511292
AI Prompt Saver is a powerful web application designed for developers to streamline their AI-generated prompts. Developed using Next.js and deployed on Vercel, this tool empowers users to save, organize, and share their AI prompts effortlessly. The integration of Google authentication provides a seamless and secure experience, allowing developers to access and manage their saved prompts with ease. Whether you're collaborating with a team or working individually, AI Prompt Saver is your go-to solution for efficient prompt management in the world of artificial intelligence. Key Features: Prompt Saving: Save and organize your AI-generated prompts for quick access. Google Authentication: Securely log in and manage your prompts with Google authentication. Collaboration: Share prompts with team members for collaborative projects. Next.js Framework: Built with the powerful Next.js framework for a robust and responsive user experience. Vercel Deployment: Deployed on Vercel for reliable hosti
AI Prompt Saver
AI Prompt Saver is a powerful web application designed for developers to streamline their AI-generated prompts. Developed using Next.js and deployed on Vercel, this tool empowers users to save, organize, and share their AI prompts effortlessly. The integration of Google authentication provides a seamless and secure experience, allowing developers to access and manage their saved prompts with ease. Whether you're collaborating with a team or working individually, AI Prompt Saver is your go-to solution for efficient prompt management in the world of artificial intelligence. Key Features: Prompt Saving: Save and organize your AI-generated prompts for quick access. Google Authentication: Securely log in and manage your prompts with Google authentication. Collaboration: Share prompts with team members for collaborative projects. Next.js Framework: Built with the powerful Next.js framework for a robust and responsive user experience. Vercel Deployment: Deployed on Vercel for reliable hosti
AI Prompt Saver
Změny byly uloženy
5.0 · 36 Reviews
Hodnocení
D
Python Web App for YouTube Transcription/Script • $300 USD
Exceeded expectations. Reda was super helpful to run this project.
Dario B.
@dariobak
•
Pochází z
NORDELTA VIRAZON, Argentina
•
před 3 dny
Sdílet
M
Graph Isomorphism Recognition Algorithm - 28/12/2024 13:58 EST • €100 EUR
Diligent worker who familiarized himself with and followed all the requirements. It was a pleasure to communicate with him—he is friendly and patient when addressing clarifications and questions. In the past, I experienced a lot of stress when communicating with another freelancer on this platform, but Reda E. is entirely different! He doesn't rush the client to make decisions and remains polite, ensuring a stress-free experience. I definitely recommend him!?
Mariia N.
@mariian9
•
Pochází z
Frankfurt am Main, Ukraine
•
před 8 dny
Sdílet
S
SEO Data UI App Development • $500 USD
A good and effective developer!
Sindre G.
@sindre1000
•
Pochází z
Bergen, Norway
•
před měsícem
Sdílet
Avatar uživatele
Custom GPT Model for Advanced Heat Planning • €50 EUR
Good prospoal and adjustments on current plan, on time delivery
Jakob R.
@Tetsuori
•
Pochází z
Nuremberg, Germany
•
před měsícem
Sdílet
T
Matlab Simulation Expert Needed • $100 USD
He did a great job and on time.
Nareerat K.
@tangege
•
Pochází z
Mount Vernon, United States
•
před měsícem
Sdílet
Zkušenosti
DATA SCIENTIST
čvn, 2023 - Současnost
•
1 , 6 měsíců
experio
čvn, 2023 - Přítomnost
•
1 , 6 měsíců
Automated Table Detection & Information Extraction Project: Implemented a robust solution using CNNs for precise table identification in images. Integrated OCR, specifically Tesseract, to extract structured data from recognized tables. Achieved high accuracy, streamlining workflows for efficient handling of diverse tabular information. The project underscores my expertise in deep learning, computer vision, and effective data extraction.
čvn, 2023 - Současnost
•
1 , 6 měsíců
Vzdělání
National Institute of Posts and Telecommunications
2021 - 2024
•
3 roky
DATA ENGINEER
Pochází z
Morocco
2021 - 2024
•
3 roky
Mathematics, physics and computer science
2019 - 2021
•
2 roky
Pochází z
Morocco
2019 - 2021
•
2 roky
Baccalaureate in Mathematical Sciences
2016 - 2019
•
3 roky
Pochází z
Morocco
2016 - 2019
•
3 roky
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