🏗️ Construction Planning Assistant Agent 📌 Problem Statement

Construction projects involve complex planning, scheduling, and resource management. Manual planning is time-consuming, error-prone, and inefficient.

This project builds an AI-powered Construction Planning Assistant that automatically generates:

Actionable construction plans Execution schedules Resource-aware task breakdowns 🎯 Project Objectives Automate construction planning using AI agents Generate structured task breakdowns from high-level goals Provide optimized scheduling based on available resources Integrate external knowledge (RAG + web scraping) Deliver a simple, professional frontend interface 📦 Scope of the Project

This system focuses on:

Planning workflows (not actual execution) AI-driven decision support Small-to-medium construction scenarios 💡 Proposed Solution 🔑 Key Features AI-powered Planning Agent AI-powered Scheduling Agent RAG (Retrieval-Augmented Generation) for construction rules Web Scraping for real-time data Resource Awareness (labor availability) Interactive Frontend UI FastAPI Backend APIs ⚙️ System Architecture / Workflow User Input (Frontend) ↓ FastAPI Backend ↓ Planner Agent → (RAG + Web Data) ↓ Generated Plan ↓ Scheduler Agent → (Resource Check) ↓ Execution Schedule ↓ Frontend Display 🛠️ Tools & Technologies Used 🔹 Backend Python FastAPI CrewAI (Multi-agent system) LangChain Groq API (LLM - LLaMA3) 🔹 AI & Data RAG (ChromaDB) HuggingFace Embeddings Web Scraping 🔹 Frontend HTML CSS JavaScript 🔹 Environment Virtual Environment (venv) dotenv (.env for API keys) 📊 Features Explained 1️⃣ Planner Agent Converts user goals into detailed construction steps Uses: RAG for rules Web scraping for additional context 2️⃣ Scheduler Agent Converts plan into execution schedule Considers: Resource availability (e.g., labor) 3️⃣ RAG System Retrieves relevant construction guidelines Improves accuracy of plans 4️⃣ Web Scraper Fetches latest construction-related info Enhances real-world relevance 5️⃣ Frontend UI Clean input box for user goals Buttons: Generate Plan Generate Schedule Displays structured output 🚀 How to Run the Project 1️⃣ Clone the Repository git clone cd project-folder 2️⃣ Create Virtual Environment python -m venv venv venv\Scripts\activate 3️⃣ Install Dependencies pip install -r requirements.txt pip install litellm 4️⃣ Set Environment Variables

Create a .env file:

GROQ_API_KEY=your_api_key_here 5️⃣ Run the Server uvicorn main:app --reload 6️⃣ Open in Browser http://127.0.0.1:8000 🧪 Sample Inputs

Try these:

"Build a residential house" "Permit requirements for commercial building" "Road construction planning" "Bridge construction workflow" 📤 Output Example 📋 Plan Site inspection Design approval Material procurement Foundation work Structural construction 📅 Schedule Day 1–3: Inspection Day 4–10: Permits Day 11–20: Foundation Day 21–40: Construction