You will get an AI-powered PDF parsing dashboard using Next.js and Groq
Project details
Say goodbye to manual data entry and human errors. I will build a production-grade AI-powered dashboard that automatically extracts, categorizes, and processes data from raw PDF documents.
The Technical Stack:
Utilizing Next.js for a lightning-fast UI, Groq (LLaMA-3.1) for high-speed AI parsing, and Drizzle ORM with Neon PostgreSQL for reliable data storage. Whether you need to process bank statements or complex invoices, my system ensures structured, clean data outputs every time.
What's included:
Real-time AI document parsing engine.
Optimized API routes for fast dashboard rendering.
Secure database integration and state management.
(Check my video demo for the live B2B dashboard walkthrough).
The Technical Stack:
Utilizing Next.js for a lightning-fast UI, Groq (LLaMA-3.1) for high-speed AI parsing, and Drizzle ORM with Neon PostgreSQL for reliable data storage. Whether you need to process bank statements or complex invoices, my system ensures structured, clean data outputs every time.
What's included:
Real-time AI document parsing engine.
Optimized API routes for fast dashboard rendering.
Secure database integration and state management.
(Check my video demo for the live B2B dashboard walkthrough).
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$550
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 1 | 3 | 5 |
Design Customization | - | ||
Content Upload | |||
Responsive Design | |||
Source Code |
Frequently asked questions
About Vimal
AI Backend & Full Stack Specialist | FastAPI, WebSockets & Next.js
Bengaluru, India - 8:08 pm local time
My Core Expertise:
AI & Voice Pipelines: Building highly optimized bidirectional WebSockets for real-time AI agents (Whisper STT, Llama-3, Groq Cloud) achieving sub-3-second latencies.
Scalable Backends: Architecting robust microservices and REST APIs using FastAPI, Node.js, and PostgreSQL.
Modern Frontend: Developing pixel-perfect, highly responsive UIs using React.js, Next.js, and Tailwind CSS/Shadcn.
Database & RAG: Optimizing queries with Drizzle ORM and integrating Vector DBs (Qdrant) for AI document parsing.
Recent Wins:
Architected an AI Voice Hub with lass than 2.8s latency by offloading LLM inference and eliminating server-side OOM crashes.
Engineered an automated PDF bank statement parser using Groq (LLaMA-3.1) and Next.js.
If you need a developer who understands end-to-end product lifecycles—from multi-stage Docker builds to complex state management—let's chat. I prioritize clear communication, clean code, and zero-friction execution.
Steps for completing your project
After purchasing the project, send requirements so Vimal can start the project.
Delivery time starts when Vimal receives requirements from you.
Vimal works on your project following the steps below.
Revisions may occur after the delivery date.
Data Mapping & AI Tuning
I will configure the Llama-3.1 prompts to ensure 100% accuracy in data extraction from your specific PDF formats.