AI virtual machine (on local Server without GPU). Target: Financial Data Analysis

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@ZohaibRoy

⭐⭐⭐⭐⭐ Build an AI System for Financial PDF Analysis ❇️ Hi My Friend, I hope you are doing well. I reviewed your project requirements and see you are looking for an AI consultant to create a Proof of Concept (PoC). Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in AI development. I will build a locally deployable AI system that can read and analyze large PDF files, ensuring high accuracy and performance. ➡️ Why Me? I can easily create your AI system as I have 5 years of experience in AI development, specializing in financial applications, model deployment, and PDF data extraction. My expertise includes working with various AI models, ensuring robust API integration, and creating efficient systems. I also have a strong grip on data analysis and Python programming, which are essential for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ AI Development ✅ Financial Modeling ✅ PDF Data Extraction ✅ API Integration ✅ Python Programming ✅ System Deployment ✅ Model Fine-tuning ✅ Data Analysis ✅ Web Interface Design ✅ Open Source Tools ✅ Performance Optimization ✅ Project Management Waiting for your response! Best Regards, Zohaib

@Muhammadzeesha59

Hello Sir/MAM I am a skilled full stack developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure . I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning ”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@emilesd617

Hi, I am a full-stack AI developer with 8 years of rich experience in software development, with a background in AI and machine learning. I am familiar with Python, LLM Integration, AI Model Development, Natural Language Processing, Data Extraction, Data Processing, API Development, Machine Learning, Mistral. I have carefully read your requirements for a fully offline Windows-based PoC. I can build a local AI system with reliable PDF table extraction, API/Web access, and a finance-focused open-source LLM, while providing a reproducible VM environment and clear deployment/training documentation to maximize accuracy and minimize hallucinations. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@mobimubasir

I have experience building offline AI/RAG systems and understand the constraints of Windows-only deployment, limited hardware (16GB RAM, 2 cores), API-first architecture, and financial-document processing. For this PoC, I would focus first on achieving the highest possible table extraction accuracy from large financial PDFs using a dedicated document-processing pipeline rather than relying solely on an LLM. I can deliver a fully offline VM with API access, web UI, installation documentation, and reproducible deployment steps. I am comfortable with daily update meetings and can provide a realistic assessment of achievable accuracy before implementation begins.

@chraheelbhatti

Throughout my 10+ year career, I have garnered and honed the necessary skills to undertake a project of this scale and complexity. My ample experience in AI Model Development, Data Processing, Machine Learning (ML), and Natural Language Processing makes me an ideal candidate for your local AI system incorporating financial data analysis. Our synergy will indeed deliver an all-encompassing solution fortified by thorough code-version handling with GITLAB, understandable technical reports/documents adhering APA/MLA standards & functional APIs with web interface enabling interactive requests(à la ChatGPT). Let's collaborate: I see this as not just a project but a great opportunity for practical innovation in a domain that can visibly improve day-to-day functioning of institutions we belong to. Looking forward!

@codefusion53

Hi, I understand your goal to develop a reliable, on-premise AI system capable of reading large PDFs with complex tables and providing high-accuracy data extraction via API and web interface. I will leverage open-source models like FinBERT or FinGPT, pre-trained in finance, and tailor them for your Windows environment without GPU. My approach will include building a robust PDF parsing pipeline, possibly integrating tools like pdfplumber with custom enhancements or alternative OCR solutions to improve table extraction reliability. I will ensure the environment is fully reproducible from scratch and capable of handling your data volume. The API and web UI will be designed for precise, traceable outputs in structured JSON, meeting your 100% accuracy requirement for the PoC. I will also set up comprehensive instructions for environment recreation, ensuring the system is fully offline and easy to deploy. Regular updates and testing will be part of our collaboration to meet your project success criteria. Best, Justin

@toriquldev123

Hello, I carefully read your requirements and understand that accuracy, full offline operation, and Windows compatibility are the highest priorities for this PoC. I have experience working with local LLM deployments, document processing pipelines, API development, and AI-based data extraction systems. For your use case, I would focus on selecting the most suitable open-source financial model, building a reliable PDF extraction pipeline for complex tables, exposing the system through REST APIs and a lightweight web interface, and packaging everything inside a Windows VM that can be recreated from the provided documentation. Rather than relying on generic OCR or basic PDF parsers, I would evaluate the extraction approach based on your sample PDFs to maximize accuracy before integrating the financial LLM. Every stage will be validated against the original documents to minimize extraction errors and hallucinations. I can participate in the required daily remote meetings and provide complete source code, deployment instructions, and a fully reproducible environment. Before starting, I would like to review one or two representative PDF samples to confirm the extraction strategy and ensure the proposed architecture meets your expectations. I look forward to discussing the project in more detail. Best regards, Md Toriqul Islam

@mobasherreza10

With my multi-faceted background in AI and ML development, Data Analysis and LLM Integration, I believe I perfectly align with the unique requirements of your project. I have a strong command over the models you've mentioned - FinGPT, FinBERT, FinText, DeepSeek-R1, BloombergGPT - which will ensure utmost accuracy and reliability in extracting information from the financial data within 300+ page PDFs. Furthermore, I have an extensive knowledge on working with limited hardware infrastructure yet ensuring optimal performance, making me a perfect candidate for deploying your system on your Windows VM. What sets me apart is not just my technical competence but also my emphasis on collaborative project execution. I understand the premise for such an intense daily meeting engagement as it ensures that every aspect of the project is well-aligned with your expectations. And this has been a part of my working style to provide transparency as well as approve my dedication towards timely delivery and quality results on budget.

@mahads31

How do you envision the API interaction for your AI system? I can assist in building a locally deployable AI that reads and analyzes large PDFs with 100% accuracy in text extraction. With my experience in developing and deploying AI models, I can ensure that the proposed solution meets all your specifications. I specialize in working with pre-trained financial models and am confident in integrating them into your setup without requiring cloud services. For the Proof of Concept (PoC), I will focus on creating a seamless user experience for both API access and web interaction. Moreover, I understand the need for stringent testing processes, given your requirement for flawless extraction and data accuracy. I’m ready to engage in daily meetings to ensure smooth collaboration and timely progress. Let’s discuss this further to align our goals for the project. Best Regards, Mahad Sheikh

@datacode0023

Hello, I have over 9 years of experience working on AI projects and have successfully contributed to multiple projects in this field. I also hold a Master's degree in Artificial Intelligence. I would be happy to discuss how my experience and expertise can support your needs. Please feel free to contact me to discuss further. Have a nice day.

@rizwange4

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@shakilan4

Hi, I can build a fully offline Windows-based PoC to extract complex financial tables from large PDFs into structured JSON and expose it through API/web access. I have experience with local AI systems, PDF extraction, and LLM integration, and I can document the full setup so it’s reproducible from scratch. Best regards, Shakila Naz

@Eliteinno

Hey, the fact that GPT-4o fails but AI Studio passes tells me the bottleneck is table extraction, not the LLM itself — your PDFs need a structured parsing layer before the model ever sees them, not just raw text ingestion. I'd pair a dedicated PDF-to-structured pipeline with a Q4-quantized financial model (FinBERT for classification tasks, a 7B GGUF via Ollama for Windows for generative answers) running purely on CPU within your 16GB constraint. The genuinely hard part here is keeping inference usable at 2 cores without hallucinating on financial figures. Are the tables primarily fixed-schema across reports, or do structure and column names vary significantly between documents?

@emanz03

I read your requirements carefully, including the Windows-only, fully offline, no-GPU constraints. The biggest challenge here is not the LLM itself, but extracting complex financial tables from 300+ page PDFs with high accuracy. I would approach this as two separate layers: a robust extraction pipeline first, followed by a local financial AI model working only on verified data to minimize hallucinations. I can deliver: • Fully offline VM (VirtualBox/VMware) ready to run on Windows • Local API endpoints for integration with VB/ASP/ASP.NET applications • Web UI for interactive queries • Structured JSON output with page references and table traceability • Complete documentation to rebuild the environment from scratch I have experience building local AI/RAG systems and would first validate the architecture using your sample PDFs to ensure the chosen solution works within the available hardware limits. I prefer being realistic rather than overpromising. If the PoC succeeds, the production phase will be straightforward. One question: are the final test PDFs similar in structure to the sample documents?

@demivision

Hi there, Thank you for providing such a clear and detailed project description. We are Demivision LLC, a team with extensive experience in AI-driven data extraction, NLP, and bespoke local deployments for financial data analysis. We appreciate your emphasis on accuracy, offline operation, and comprehensive extraction from complex, large-scale PDFs—challenges we are well-equipped to address. Your requirements for a fully offline, Windows-based AI virtual machine—capable of reliably extracting variable tables from multi-hundred-page PDFs, delivering both JSON and textual outputs, and integrating via APIs—align closely with solutions we have delivered for financial and legal industry clients. We understand that existing tools like pdfplumber are insufficient for your needs, and that only perfect extraction and structured output, with traceability by table and page, will meet your standards. Our approach will combine advanced open-source LLMs pre-trained in the financial domain with state-of-the-art, table-aware PDF extraction techniques, ensuring maximum fidelity in capturing diverse tabular structures. We will select and rigorously test the optimal foundation model (e.g., FinGPT, FinBERT, or similar) to balance your hardware constraints and accuracy requirements. All components will be fully open-source and packaged as a ready-to-run Windows VM, with thorough documentation for reproducibility. We also understand the importance of daily updates and are committed to close collaboration throughout the PoC. Our team will ensure the system is robust, user-friendly via both API and web interface, and meets your exacting standards for reliability and accuracy. We look forward to helping you realize this project and to establishing a long-term partnership. Best regards, Demivision LLC

@marwanehamdani

As an AI specialist deeply experienced in Machine Learning (ML) and Data Analysis, I offer you a unique approach to your project. The complexity of your financial data analysis needs on a local, limited resource environment is not lost on me. I am familiar with pre-training models like the ones you listed: FinBERT, FinGPT, BloombergGPT among others. If the model requires fine-tuning, we can come up with a comprehensive training plan that suits your budget and time frame. I’m also confident in creating an LLM system deployable on Windows servers without GPU leveraging on my expertise with python & .py to build APIs for easy interaction. My history of meticulously reading technical reports and successful execution aligns perfectly with your requirement of building a low-budget POC which is crucial for the attached projects. Finally, my 'payment upon satisfaction' policy means that I will take absolute care in developing an AI system that reads large PDF files (including tables) accurately, yet in a cost-effective manner given the hardware limitations at hand - 16GB RAM and 250GB HD/2 cores. I am dedicated to delviering results that ensure your comfort, highly available and precise AI system to use for all your finance sector data analysis needs; just as you want it!

@rakhshanz3

With nearly 20 years of diverse experience across academia and industry, including a PhD in Artificial Intelligence and technology leadership roles, I have the expertise to execute your AI project effectively. Specifically, my journey spans from teaching and research in AI, to building large-scale software solutions integrated with AI capabilities. In my previous role as a Chief Technology Officer at an AI-driven startup, I shaped many revolutionary applications such as AI voice & chat agent, using Blockchain as data layer. This included creating machine learning-based platforms for business analytics dedicated to generating business insights and automation. My experience extends in building responsive web and mobile applications, arising scope for excel in crafting APIs in your preferred language during this project. I bring superior problem-solving skills coupled with proficiency in Autonosys environments such as FinBERT and FinRobot, that aligns perfectly with your financial data analysis needs. Further, I've also developed several custom AI tools for automated financial document processing and data extraction. Together with an exceptional understanding of GPU-less AI processing on Windows Server (VMware/Virtualbox), I assure you of seamless technical execution that stays within budgetary boundaries.

@khuzaima024

Hi, I have experience building offline AI and RAG solutions using open-source models, local vector databases, document processing pipelines, and API-based integrations. For your PoC, I can evaluate the most suitable lightweight financial model for a Windows-only, CPU-only environment and implement a reproducible setup with API access, web UI, and structured PDF data extraction. Freelancer Profile: https://www.freelancer.com/u/khuzaima024 Best regards, Khuzaima