Essay Evaluator — AI-Powered Essay Feedback System

Overview

The Essay Evaluator is an AI-powered web application that leverages the capabilities of LLaMA 3.1 via the Groq API to:

• Provide structured feedback across key writing dimensions
• Generate an overall qualitative review
• Assign objective scores out of 10
• Calculate an average score

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Key Features

• AI-powered structured evaluation
• Language Quality Feedback + Score
• Depth of Analysis Feedback + Score
• Clarity of Thought Feedback + Score
• Overall Summary Feedback
• Average Score Calculation

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Tech Stack

Layer	Tools & Libraries
Backend	Python, Flask
AI Model	Groq API (LLaMA 3.1)
Orchestration	LangGraph
Model Framework	LangChain
Validation	Pydantic
Config	python-dotenv
Frontend UI	HTML, CSS (minimalist styling)

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Demo Screenshot

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Setup Instructions

Clone the Repository

git clone https://github.com/BhaveshBhakta/Essay-Evaluator-Using-LangGraph.git
cd Essay-Evaluator-Using-LangGraph

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Create Virtual Environment & Install Dependencies

python -m venv venv
source venv/bin/activate   # Mac/Linux

venv\Scripts\activate      # Windows

Install packages:

pip install -r requirements.txt

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Configure Environment Variables

Create a .env file:

GROQ_API_KEY=your_groq_api_key_here

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Run the Application

python app.py

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Why This Project?

This project demonstrates:

• Practical application of Generative AI in education
• Real-world LLM integration with Flask
• Use of LangGraph for structured multi-step reasoning
• Prompt engineering for assessment workflows
• Clean and user-friendly frontend design

Collaboration

Contributions are welcome! Feel free to fork the repository, make improvements, and submit a pull request.