Configure Arabic PDF Sentiment

@engmalaa

For your Configure Arabic PDF Sentiment project, my team and I at Avalon AI bring a wealth of relevant experience and the technical skills to deliver on all your requirements. We understand that handling Arabic script can pose unique challenges, but having implemented efficient processes for diacritic inclusion and right-to-left layout, we guarantee reliable text extraction from Arabic PDFs. Our fluency in Python allows us to work smoothly with libraries such as PyPDF2 and LangChain which would be invaluable in your project. In addition to the technical expertise, we understand the need for a seamless integration with the existing environment. As such, working within Docker setups is second nature to us and we will provide updated containers/scripts that not only cater to your new language-specific needs, but are also easy to understand and redeploy. Finally, our overarching focus is always on clear communication and scalability. We will provide you with comprehensive documentation - whether that's via a README file or inline comments - enabling you or any other developer to effortlessly maintain and extend the set up. We see this project as an opportunity to further push the boundaries of OpenWebUI and with us on board, you can be confident of a job delivered to perfection.

@NawaazJasat

We are a perfect match-Your search is over I understand your need to seamlessly integrate Arabic-language PDF support with sentiment analysis into your existing OpenWebUI platform. Leveraging my expertise in Python and sentiment analysis models, I can efficiently develop the solution you require. For instance, I recently integrated sentiment analysis into a multilingual content management system for a similar project, ensuring accurate classifications. To fulfill your requirements, we will: 1. Enhance OpenWebUI to process Arabic PDFs accurately 2. Implement a sentiment analysis component for three-way classification 3. Provide clear documentation for easy deployment and future extensions While new to Freelancer, I bring years of experience, ensuring punctuality and attention to detail. I am ready to discuss and commence work immediately. lets Chat I am currently available and would love to get started on this project

@snbhanja

Hi, I have worked on many Arabic text projects inlcuding Arabic chatbots, sentiment analysis, arabic speaker classification, custom RAG chatbots with api and docker and docker compose. I can make the arabic sentiment analysis tool and can integrate it with openwebui with docker and docker compose. Lets connect.

@webmasters486

Hey, I've carefully reviewed your requirements for extending OpenWebUI’s RAG pipeline to handle Arabic PDFs and classify each extracted chunk as positive, neutral, or negative. With expertise in Python, LangChain, and Docker-based NLP pipelines, I can integrate reliable Arabic text extraction (handling right-to-left layout and diacritics) using libraries like PyPDF2 or pdfplumber, then connect it to an Arabic-tuned sentiment analysis model. The workflow will remain efficient and containerised, plugging directly into your existing OpenWebUI setup with minimal overhead. I’ll ensure the classification returns a clean three-way output for each passage, visible within the current interface. My focus is on accuracy, lightweight integration, and clear documentation so you can redeploy or extend the setup easily in the future. Once complete, you’ll be able to upload Arabic PDFs and instantly view chunk-level sentiment inside OpenWebUI. Looking forward to your response. Best regards, Muhammad Adil Portfolio: [https://www.freelancer.com/u/webmasters486

@hamzakhattabi

Regarding your need to extend your OpenWebUI RAG pipeline to support Arabic PDFs with sentiment analysis, I understand you require accurate text extraction, handling of right-to-left script and diacritics, and a three-way positive/neutral/negative sentiment classification within the existing Dockerized environment. I will achieve this by integrating a robust Arabic text extraction library with a suitable sentiment analysis model (either hosted or locally deployed using LangChain), ensuring seamless integration with your OpenWebUI setup. My expertise in Python, NLP, and Docker containerization guarantees a smooth and efficient solution. I'm confident I can deliver a functional solution quickly, showcasing the sentiment output within your UI. Let's connect to discuss how I can help, Best regards,

@Visharaa2024

As someone with over 8 years of experience in software development, I have honed my skills to provide high-quality, efficient and reliable solutions that would be a perfect fit for your project. Specifically, on mobile app development, I have successfully built well-received Android and iOS apps from scratch, some with complex features like social networking, Uber-style services, food ordering and matrimonial apps amongst many others. Recognizing your need to expand OpenWebUI capabilities to include Arabic PDF sentiment analysis, I assure you that my proficiency in Python can effortlessly accommodate the inclusion of Arabic functionality via libraries such as LangChain or PyPDF2. Having worked with languages that display text featuring right-to-left layout and diacritic characters will prove invaluable in this process. Additionally, my solid understanding of containerization and Docker ensures seamless integration of the proposed solution without unnecessary complexity or overhead on your existing setup. ‍ ‍To enable you to effectively assess extracted sentiment results from the Arabic PDFs within OpenWebUI, clear communication is paramount. My promise to effectively document the entire implementation process via a detailed README or inline comments assures you that redeploying or extending the current setup would be a straightforward task even without exclusive knowledge of the shared core language. ‍

@pabloalejandros1

With a forward-thinking mindset and breadth of technical knowledge that spans back-end with Django and front-end with JavaScript, I’m confident in my ability to seamlessly integrate Arabic PDF capabilities into OpenWebUI for you. Having developed applications for a diverse range of industries like healthcare and e-commerce, I understand the value of language diversity in catering to a wide audience. As such, I've familiarized myself with utilities like PyPDF2 and LangChain, which should prove useful in accurately extracting Arabic text. In addition to strong coding skills, I bring deep learning-based NLP and Text Classification proficiency that will be paramount in accurately categorizing the extracted passages as either positive/neutral/negative. Despite having multiple competing career offers, I'm especially drawn to this project because it provides me an opportunity to utilise my linguistic understanding for a meaningful task: making sense of Arabic-language content through sentiment analysis. I look forward to discussing how we can further enhance your OpenWebUI with Arabic PDF sentiment configuration! Pablo

@dushyant317

I am a seasoned software developer with 13 years of experience, holding a degree from IIT Delhi. My expertise aligns perfectly with the required skills for your project. I have successfully delivered complex solutions across diverse domains with a focus on quality and scalability. I bring strong problem-solving ability, hands-on technical depth, and client-centric delivery. I am confident I can add value to your project and deliver results within timelines.

@siviwen1

Hello! I’m excited to submit my proposal for your project. With a proven track record in NLP and AI solutions, I understand the importance of expanding language capabilities within existing systems. Your requirement for integrating Arabic PDF processing with sentiment analysis aligns perfectly with my expertise. I will deliver a seamless solution by updating the OpenWebUI containers to read Arabic PDFs accurately and integrating a sentiment component that classifies content as positive, neutral, or negative. The setup will be efficiently implemented using Python and other relevant libraries. Let's discuss your requirements further to move this project forward seamlessly. Best regards, Siviwe

@somolaiye53

Hi Azamgarh, I can extend your existing OpenWebUI + RAG pipeline to handle Arabic-language PDFs with accurate text extraction (including RTL layout and diacritics) and integrate a sentiment analysis module that classifies passages as positive, neutral, or negative. What I’ll Deliver Arabic PDF ingestion using Python + libraries like PyPDF2 / pdfplumber with RTL handling. Sentiment classifier (Arabic-tuned ML/NLP model) returning three-way results per chunk. Seamless Docker integration so it plugs directly into your current OpenWebUI setup. Documentation (README + inline comments) for easy redeployment and future extension. Why Me Experience in AI/NLP (RAG, LSTM, BiLSTM, transformers) and multilingual text pipelines. Built solutions in Python, LangChain, and Dockerized deployments for production-ready NLP. Previous work includes fake news detection (multi-language models), healthcare EHR pipeline, and Arabic text preprocessing for sentiment research. Rate: within your budget (₹12,500 – 37,500 INR) Timeline: First working version within 5–7 days Once deployed, you’ll be able to upload Arabic PDFs and instantly see sentiment results inside your OpenWebUI. Best regards, Omolaiye Samuel Oluwatobi AI & NLP Engineer | Python | Docker

@swant1

For Understanding Your Work Ineed Source Code That you developed I can help you extend your existing OpenWebUI + RAG pipeline to fully support Arabic PDFs with accurate text extraction and sentiment classification. My approach will ensure reliable handling of right-to-left layout and diacritics, using Python tools like PyPDF2 or pdfplumber for text parsing, and integrating an Arabic-tuned sentiment model (either local or via API) to classify each chunk into positive, neutral, or negative. I will containerize the solution to fit smoothly into your current Docker setup, keeping extra dependencies minimal for efficiency. Deliverables will include: • Updated scripts/containers enabling Arabic PDF ingestion • Sentiment classification pipeline with clear three-way results per chunk • Documentation (README + inline comments) to redeploy or extend easily You’ll be able to upload a sample Arabic PDF and instantly view the sentiment results in OpenWebUI. I’ll ensure the system is lightweight, accurate, and easy to maintain.