You will get Automated OCR & AI Document Extraction With GPT
Project details
šš-ššØš°šš«šš ššØšš®š¦šš§š šš±šš«šššš¢šØš§ & ššš šš®ššØš¦ššš¢šØš§
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ā¢ šš-š©šØš°šš«šš ššØšš®š¦šš§š šš±šš«šššš¢šØš§ ššØš« ššš š¬, š¬ššš§š§šš šš¢š„šš¬, š¢š¦šš šš¬, šš§š šš®š„š¤ šš«šš”š¢šÆšš¬
ā¢ šš®ššØš¦ššš¢ššš„š„š² ššØš§šÆšš«šš¬ š®š§š¬šš«š®ššš®š«šš ššØšš®š¦šš§šš¬ š¢š§ššØ š¬šš«š®ššš®š«šš, š®š¬ššš„š šššš
ā¢ šš¢š š”-šššš®š«ššš² ššš ššØš¦šš¢š§šš š°š¢šš” šš ššØš« š¢š§ššš„š„š¢š šš§š šš¢šš„š šš±šš«šššš¢šØš§
ā¢ šš®š¬ššØš¦ šš±šš«šššš¢šØš§ šØš š®š¬šš«-šššš¢š§šš šš¢šš„šš¬, šššš„šš¬, šš§š š¤šš² šššš š©šØš¢š§šš¬
ā¢ ššššš„ ššØš« š¢š§šÆšØš¢ššš¬, šš¢š§šš§šš¢šš„ ššØšš®š¦šš§šš¬, ššØš¦š©š„š¢šš§šš, šš§š šØš©šš«ššš¢šØš§šš„ š«šššØš«šš¬
ā¢ šš®š©š©šØš«šš¬ š¬š¢š§š š„š šš¢š„šš¬, ššššš” š©š«šØššš¬š¬š¢š§š , šš§š ššš š®š©š„šØššš¬
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ā¢ šššš„šš¬ šš«šØš¦ š¬š¢š¦š©š„š ššš±š šš±šš«šššš¢šØš§ ššØ šš®š„š„ ššØšš®š¦šš§š šš®ššØš¦ššš¢šØš§ š©š¢š©šš„š¢š§šš¬
AI Algorithms
Autoencoder, Convolutional Neural Network, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, YOLOAI Applications
Image Analysis, Image Processing, Image Recognition, Machine Translation, Natural Language Generation, Neural Machine Translation, Neural Style Transfer, Object Detection, Sequence Modeling, Text Recognition, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
NVIDIA AI Platform, PyTorch, TensorFlowAI Models
ChatGPT, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$299
|
Standard
$499
|
Advanced
$749
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
AI Model Integration | |||
Batch Normalization | - | ||
Database Integration | - | ||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | |
MLOps | - | - | |
Model Deployment | |||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | |||
Model Tuning | |||
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | ||
Prompt Engineering | - | ||
Setup File | |||
Source Code | - | - |
About Naeesh
Senior AI/ML Engineer | Building Production AI Systems
Fort Wayne, United StatesĀ - 8:57 pm local time
š ššØš§āš šš®š¢š„š šš«šš š¢š„š š©š«šØššØšš²š©šš¬. š šš§š š¢š§ššš« š«šØšš®š¬š, š¦šš¢š§ššš¢š§ššš„š šš š¬š²š¬ššš¦š¬ šš”šš š¬šš«šÆš š«ššš„ š®š¬šš«š¬, š”šš§šš„š ššš¢š„š®š«šš¬ š š«ššššš®š„š„š², šš§š š¦šš¤š šš®š¬š¢š§šš¬š¬ š¬šš§š¬š š„šØš§š -ššš«š¦.
šš”šš š šš®š¢š„š
ā¢ šš«šØšš®ššš¢šØš§ šš šš²š¬ššš¦š¬: Reliable architectures with monitoring, error handling, and cost controlsāso your system doesnāt break at 3 AM.
ā¢ ššš šš©š©š„š¢šššš¢šØš§š¬ & ššš šš²š¬ššš¦š¬: AI that answers questions using your data, retrieves the right context, and knows when it doesnāt know the answer.
ā¢ šš šš”ššššØšš¬ & šš šš§šš¬: Customer support and internal tools with natural conversation flows and intelligent human escalation.
ā¢ šš®š¬ššØš¦ šš«šš¢š§š¢š§š & š š¢š§š-šš®š§š¢š§š : Domain-specific LLM fine-tuning, custom models when off-the-shelf solutions fall short, and Stable Diffusion for branded content.
ā¢ šš šš šš§šš¬ & šš®ššØš¦ššš¢šØš§: Multi-step workflows that actually executeāintegrated with your existing tools, APIs, and business processes.
š§ šššš” ššššš¤ & šš±š©šš«šš¢š¬š
ā¢ šš / šš: LangChain, LangGraph, TensorFlow, PyTorch, RAG pipelines, prompt engineering
ā¢ šššÆšš„šØš©š¦šš§š: Python, Node.js, TypeScript, React, Next.js, Mern, Angular
ā¢ šš®ššØš¦ššš¢šØš§: n8n, Make.com, API integrations, Voice AI (Coqui X TTS)
ā¢ šš§šš«šš¬šš«š®ššš®š«š: Docker, cloud services, CI/CD pipelines, Airtable
ā¢ ššš: Bubble.io, Loveable for rapid prototyping
š ššØš° š šš©š©š«šØššš” šš«šØš£šššš¬
I start by understanding your actual business problem, not just the solution you think you need. Sometimes AI is the answerāsometimes it isnāt.
I ask the hard questions upfront:
ā¢ What happens when this fails?
ā¢ What will this cost at 10Ć scale?
ā¢ Can your team maintain this long-term?
ššØš®āš„š„ š šš š šš„ššš«, š”šØš§šš¬š šš¬š¬šš¬š¬š¦šš§š šØš š°š”ššāš¬ š«ššš„š¢š¬šš¢š, š°š”šš š¢š š°š¢š„š„ ššš¤š, šš§š š”šØš° ššØ šš®š¢š„š š¢š š©š«šØš©šš«š„š².
ššØš® šš¢š š”š šššš šš ššā¦
ā¢ You have an AI idea and need someone to build it correctly
ā¢ Your prototype worksābut breaks in production
ā¢ You need AI integrated into an existing product
ā¢ Your AI costs are escalating out of control
ā¢ You want someone who understands both AI and real-world engineering
ššØšššš„š šš«šØš£šššš¬
ā¢ šš®ššØš¦ššš¢š šš¢ššš§š¬š šš„ššš ššššØš š§š¢šš¢šØš§ (šššššÆš): Built a real-time ALPR system for vehicle identification from images and video streams that reduced manual verification by 80%, saving approximately $25,000+ annually in operational monitoring costs
ā¢ šššš¢ššš„ šš§šš¢šš² šš±šš«šššš¢šØš§ (š š¢š§š-šš®š§šš šššš¬): Fine-tuned LLMs to extract structured medical data from clinical text. Reduced manual extraction time by 65%, cutting documentation processing costs by $30,000 per year
ā¢ šš®ššØš¦šššš ššš šš¢šššØ ššš§šš«ššš¢šØš§ (š§šš§): Developed a fully automated video creation pipeline converting images into UGC-style videos. Reduced production time by 90% and saved $18,000+ annually in content creation costs
ā¢ ššššš„š šš¢ššš®š¬š¢šØš§ š š¢š§š-šš®š§š¢š§š š°š¢šš” ššØšš: Implemented LoRA-based fine-tuning for Stable Diffusion models. Reduced training compute costs by 65%, saving approximately $12,000 per model compared to full fine-tuning
ā¢ šš ššš„š„ šš§š¬š¢š š”šš¬ & ššš«ššØš«š¦šš§šš šššØš«š¢š§š šš§š š¢š§š: Built an AI-powered call analysis system to score sentiment and agent performance. Reduced evaluation time by 70%, saving $35,000 per year in QA and supervision costs
ā¢ ššØš-šš ā ššš & šš§ššš„š„š¢š šš§š ššØšš®š¦šš§š šš«šØššš¬š¬š¢š§š : Built an OCR system that extracts structured data from PDFs and images, reducing manual data entry by 85% and saving $40K annually
ā¢ ššš-ššš¬šš šš®ššØš¦šššš ššš©šØš«š ššš§šš«ššš¢šØš§ šš²š¬ššš¦: Developed a RAG engine that generates structured reports from technical documents, cutting report prep time by 70% and saving $22K annually.
šššāš¬ ššš„š¤
Send over your requirements, and Iāll give you a š¬šš«šš¢š š”š šš§š¬š°šš« on whatās possible, what it will realistically take, and whether AI is even the right approach.
Steps for completing your project
After purchasing the project, send requirements so Naeesh can start the project.
Delivery time starts when Naeesh receives requirements from you.
Naeesh works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Document Review
Client shares document samples, formats, required fields, and volume details.
System Setup & Configuration
OCR and AI extraction logic is configured based on document types and selected service tier.