DocFlow AI – Intelligent Document Processing Platform
DocFlow AI is an enterprise document intelligence platform that transforms unstructured documents into searchable, actionable knowledge.
The platform automatically extracts information from PDFs, Word files, invoices, contracts, and reports, builds a searchable knowledge base, and enables users to interact with their documents through an AI assistant using Retrieval-Augmented Generation.
It combines OCR, structured extraction, RAG, AI agents, and workflow automation to simplify document-heavy business operations.
Features:
PDF Processing
OCR Pipeline
RAG
AI Chat with Documents
Entity Extraction
Document Classification
Knowledge Base
Citation Generation
Role-based Access
FastAPI Backend
Tech Stack:
Python
FastAPI
LangGraph
LangChain
ChromaDB
PostgreSQL
Docker
Redis
OpenAI
OCR
0
55
ResearchX – Autonomous Deep Research AI Agent
ResearchX is a production-ready autonomous research agent that performs end-to-end research with minimal human input.
Instead of simply answering questions, the agent plans research tasks, searches multiple trusted sources, evaluates information quality, retrieves supporting evidence, and generates structured reports with citations.
Built using a multi-agent architecture, the system combines planning, retrieval, tool calling, memory, and iterative reasoning to handle complex research tasks while reducing hallucinations through grounded retrieval and verification.
Features:
Autonomous Planning
Multi-Agent Workflow
Web Search Integration
PDF Analysis
RAG Pipeline
Citation Generation
Long-Term Memory
Report Generation
Source Verification
Evaluation Framework
Tech Stack:
Python • LangGraph • FastAPI • Tavily • ChromaDB • PostgreSQL • Redis • Docker • OpenAI • Claude
0
126
Scopio – Multi-Agent AI Sales Automation Platform
Scopio is a production-ready multi-agent AI platform designed to automate B2B sales and lead generation.
The platform coordinates multiple AI agents to perform end-to-end sales workflows:
Discover potential businesses from multiple sources
Research company websites and public information
Analyze business context using LLMs
Generate personalized outreach emails
Manage follow-up workflows automatically
Maintain conversation history and workflow state
I designed the agent architecture using LangGraph, enabling planning, tool calling, memory, and multi-step execution while integrating external APIs and backend services for reliable automation.
Key Features
Multi-Agent Architecture
Autonomous Business Research
AI-Powered Personalized Outreach
Tool Calling & API Integration
Workflow Orchestration
Long-Term Memory
PostgreSQL & Redis Integration
Dockerized Deployment
FastAPI Backend
Tech Stack
Python • LangGraph • LangChain • FastAPI • PostgreSQL • Redis • Docker • OpenAI • MCP • REST APIs
0
57