You will get AI Research Automation & PDF Report Generator | n8n, APIs, Google Sheets
Project details
This project delivers an AI-powered research automation workflow that generates detailed, structured PDF reports from a single search topic. Using AI agents, LLMs (GPT, Claude), and workflow automation tools (n8n, Make.com, Zapier), the system automatically:
• Breaks down topics into chapters and sub-sections with AI.
• Retrieves and formats data from multiple sources, APIs, and Google Sheets.
• Integrates external tools via custom API calls, webhooks, and data pipelines.
• Compiles results into structured HTML output and converts it into a branded, clickable PDF report using an HTML-to-PDF API.
This solution is perfect for businesses, agencies, and researchers who need scalable AI automation for research, data extraction, workflow automation, and reporting without manual effort.
• Breaks down topics into chapters and sub-sections with AI.
• Retrieves and formats data from multiple sources, APIs, and Google Sheets.
• Integrates external tools via custom API calls, webhooks, and data pipelines.
• Compiles results into structured HTML output and converts it into a branded, clickable PDF report using an HTML-to-PDF API.
This solution is perfect for businesses, agencies, and researchers who need scalable AI automation for research, data extraction, workflow automation, and reporting without manual effort.
What's included
| Service Tiers |
Starter
$800
|
Standard
$1,300
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 3 days | 8 days | 15 days |
Number of Pages Mined/Scraped | 10 | 15 | 30 |
Number of Sources Mined/Scraped | 5 | 10 | 20 |
Number of Revisions | 1 | 3 | 6 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500 - $1,200
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Completed the project successfully.
About Usama
AI/ML Developer | AI Agents | Voice AI | RAG | LLM | AI Automation
91%
Job Success
Taxila, Pakistan - 7:19 am local time
5+ years as a software engineer, now focused on AI Agent Development, Voice AI, RAG, and LLM Automation using Python, Node.js, Next.js, FastAPI, React, and PostgreSQL. Top Rated on Upwork, $20K+ earned.
WHAT I BUILD
AI Agent Development
I architect AI Agents with tool calling, memory, and multi-step reasoning using LangChain, OpenAI SDK, and custom LLM orchestration. These AI Agents connect directly into CRMs and business tools HubSpot, GoHighLevel, Calendly so the automation isn't just a chatbot, it's an AI Agent that actually completes the task.
Voice AI & Voice AI Agents
I build inbound and outbound Voice AI Agents for lead qualification, appointment booking, and call automation. Built Chatley.ai, a 24/7 AI voice call automation platform with VAPI integration, multi-language support, and Stripe billing. Built Voxr.ai, an outbound Voice AI Agent using ElevenLabs for voice synthesis, Deepgram for transcription, and Twilio for telephony. On Upwork, currently tuning an outbound lead-qualifying Voice AI Agent, and previously shipped a Twilio + OpenAI Voice AI receptionist for a plumbing company recovering missed after-hours calls.
RAG & LLM Systems
I build production RAG pipelines connected to vector databases — Qdrant, OpenAI vector stores — so AI Agents answer from real business data instead of hallucinating. Built IDEO Lab, a multimodal RAG workspace: a node-based AI Agent canvas that ingests documents, websites, YouTube, and social media, then runs RAG-grounded chat with LLM-powered responses across OpenAI (chat, vision, Whisper) and LangChain.
AI Automation
I connect AI Agents and RAG systems into the automation layer businesses already run on — n8n, Make, Zapier, GoHighLevel. Recent AI Automation work: system hardening for Verbai (Phase 4), and an AI-powered MVP using LLM + RAG for construction shop-drawing document analysis.
Also built: RolePlay.ai, an AI Agent-driven roleplay training platform using LangChain and Voice AI for sales/customer-service simulation and real-time scoring.
TECH STACK
AI Agents & LLM: LangChain, OpenAI SDK, custom LLM integration
Voice AI: VAPI, Twilio, ElevenLabs, Deepgram
RAG & Vector Storage: Qdrant, OpenAI vector stores
AI Automation: n8n, Make, Zapier, GoHighLevel, HubSpot
Full-Stack: React, Next.js, Node.js, Python (FastAPI/Django), MongoDB, PostgreSQL
WHO I WORK WITH
Founders who need a Voice AI Agent or AI Automation system that survives real call volume.
Businesses that need a RAG-powered AI Agent grounded in their own documents and data.
Teams that need AI Agent Development to replace manual, repetitive workflows.
Send me your use case. I willl tell you honestly whether an AI Agent, Voice AI system, or RAG pipeline is the right fix.
Steps for completing your project
After purchasing the project, send requirements so Usama can start the project.
Delivery time starts when Usama receives requirements from you.
Usama works on your project following the steps below.
Revisions may occur after the delivery date.
Collect your research topic, preferred sources, and formatting preferences.
Configure AI agents in n8n/Make.com and retrieve data.