AI Agent Engineer Projects in Howrah

AI Agent Engineer Projects in HowrahAI Agent Engineer Projects in Howrah

Cover image for Solar Lead Automation System –

Solar Lead Automation System – AI Chatbot, WhatsApp Alerts & CRM Solar AI Lead Automation System This project is a modern AI-powered lead generation and automation platform built specifically for solar energy companies. The system helps solar businesses capture potential customer inquiries, respond instantly, and manage leads efficiently through an automated workflow. This platform helps solar companies respond faster to leads, improve conversion rates, and automate customer communication.

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Cover image for DocFlow AI – Intelligent Document

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

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Cover image for StepsToHebrew platform to learn Hebrew

StepsToHebrew platform to learn Hebrew from English

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Cover image for Scopio – Multi-Agent AI Sales

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

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Cover image for Built a production-ready Agentic AI

Built a production-ready Agentic AI nutrition assistant using LangGraph, LangChain, Hybrid RAG, FastAPI, ChromaDB, and SQLite. Features include: • Human-in-the-loop onboarding • Hybrid Retrieval-Augmented Generation • Long-term user memory • Deterministic nutrition engine • Tool calling and workflow orchestration • Guardrails to prevent hallucinated nutrition values • Automated evaluation pipeline Tech Stack: Python • LangGraph • LangChain • FastAPI • ChromaDB • SQLite • Groq Llama 3 • Streamlit

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