You will get AI-Powered Document Processing System
Rising Talent
Project details
You’ll get a custom AI-powered document processing system designed to automate data extraction, understanding, and retrieval from unstructured documents, PDFs, images, contracts, reports, and scanned forms.
✅ Core Architecture:
Built using Tesseract OCR, EasyOCR, or Google Vision API for text extraction, combined with Python pipelines for preprocessing (layout parsing, entity recognition, and noise reduction).
✅ LLM Integration:
Integrates with OpenAI GPT, Anthropic Claude, or open-source models (LLaMA, Falcon, Mistral) for question-answering, summarization, and semantic search tasks.
✅ Features & Capabilities:
✔ Extract structured data from PDFs, scanned images, and handwritten documents
✔ Perform intelligent document summarization and section-based Q&A
✔ Support for multi-format inputs (PDF, DOCX, PNG, JPEG, TXT, CSV)
✔ Fine-tuned entity extraction for key information like dates, amounts, and clauses
✔ Advanced search with semantic filtering and relevance scoring
✅ Performance & Deployment:
Containerized using Docker, deployable to AWS, Azure, or GCP with horizontal scaling options.
Supports encryption and access control for enterprise-grade data security.
✅ Core Architecture:
Built using Tesseract OCR, EasyOCR, or Google Vision API for text extraction, combined with Python pipelines for preprocessing (layout parsing, entity recognition, and noise reduction).
✅ LLM Integration:
Integrates with OpenAI GPT, Anthropic Claude, or open-source models (LLaMA, Falcon, Mistral) for question-answering, summarization, and semantic search tasks.
✅ Features & Capabilities:
✔ Extract structured data from PDFs, scanned images, and handwritten documents
✔ Perform intelligent document summarization and section-based Q&A
✔ Support for multi-format inputs (PDF, DOCX, PNG, JPEG, TXT, CSV)
✔ Fine-tuned entity extraction for key information like dates, amounts, and clauses
✔ Advanced search with semantic filtering and relevance scoring
✅ Performance & Deployment:
Containerized using Docker, deployable to AWS, Azure, or GCP with horizontal scaling options.
Supports encryption and access control for enterprise-grade data security.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$100
|
Standard
$600
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 20 days | 40 days |
Number of Revisions | 1 | 3 | 3 |
Design Customization | |||
Content Upload | |||
Responsive Design | - | ||
Source Code | - | - |
About Nouman
Gen AI Engineer | LLM Fine-tuning | NLP | OCR | Voice Agent | Chatbot
Erlangen, Germany - 3:13 pm local time
✨What I Do:
~Build Generative AI applications enabling natural language querying and interaction with data for non-technical users.
~Fine-tune and optimize LLMs for domain-specific tasks using curated datasets, PEFT, LoRA, QLoRA, RLHF, and structured evaluation pipelines.
~Develop NLP-driven systems, including text-to-SQL converters, chatbots, and query-to-visualization tools.
~Design predictive models for churn prediction, customer segmentation, and forecasting to support data-driven decisions.
~Create OCR pipelines for extracting structured insights from scanned PDFs, images, and handwritten documents.
~Deploy production-grade AI systems on AWS, FastAPI, Docker, and other scalable cloud architectures.
📊Highlighted Projects:
~Developed a Generative AI tool converting natural language prompts into interactive graph queries and visualizations, reducing data analysis time.
~Built a Natural Language to SQL Query Generator using LangChain, LlamaIndex, and OpenAI GPT, integrated into FastAPI for instant database interaction.
~Fine-tuned and evaluated LLMs with feedback-based optimization, improving benchmark performance and task-specific accuracy.
~Designed predictive churn and segmentation models, reducing customer attrition by 11% for financial institutions.
~Developed an OCR-powered CO₂ footprint estimator, extracting and analyzing environmental data from scanned reports via a cloud-based API.
✅Technical Expertise:
~Programming & Frameworks: Python, SQL, TensorFlow, Keras, Scikit-learn.
~LLM & GenAI Tools: LangChain, LlamaIndex, OpenAI GPT, Hugging Face Transformers.
~Model Optimization: LoRA, QLoRA, PEFT, RLHF, DPO.
~OCR & Computer Vision: Tesseract, PaddleOCR, OpenCV.
~API & Deployment: FastAPI, Docker, AWS (Lambda, S3, EC2, SageMaker).
~Data Science & Analytics: Pandas, NumPy, Matplotlib, Seaborn.
~Databases & Vector Stores: PostgreSQL, MySQL, Pinecone, Weaviate.
If you’re looking for a Generative AI engineer or NLP or OCR specialist to transform your ideas into production-ready AI applications, let’s collaborate!
#GenerativeAI #LLM #NLP #MachineLearning #AIApplications #AIModelTraining #LangChain #LlamaIndex #ChatGPTDeveloper #RAGSystems #SemanticSearch #DocumentAI #OCR #ComputerVision #AIAutomation #FastAPI #PythonDeveloper #AWS #MLOps #TextToSQL
Steps for completing your project
After purchasing the project, send requirements so Nouman can start the project.
Delivery time starts when Nouman receives requirements from you.
Nouman works on your project following the steps below.
Revisions may occur after the delivery date.
delivery
delivery