🎬 Generate academic assignments with Google Gemini & deliver via Telegram/PDF

⚡ 802 views · 🎬 Content Creation & Video

Description

AI-Powered Academic Assignment Generator

This n8n workflow template automates the complete academic assignment generation process from student queries to professional document delivery. Students submit assignment requests via Telegram, and the workflow generates comprehensive, plagiarism-free academic content using Google Gemini AI, formats it into professional PDF documents, and delivers downloadable links while maintaining complete records.

What does this workflow do?

📱 Telegram Integration: Receives structured assignment requests from students
🤖 AI Content Generation: Creates comprehensive academic answers (500+ words per question)
📄 Professional Formatting: Generates university-standard HTML/PDF documents
☁️ Cloud Storage: Automatically stores files in organized Google Drive folders
📊 Record Keeping: Maintains complete assignment database in Google Sheets
🔄 End-to-End Automation: Complete pipeline from query to document delivery

How it works

The workflow processes student assignment requests through 16 interconnected nodes, handling everything from input parsing to final document delivery:

Input → AI Processing → Document Generation → Storage & Delivery

Setup Requirements

Credentials needed:

Telegram Bot Token (for receiving/sending messages)
Google Gemini API Key (for AI content generation)
Google Sheets API (for record keeping)
Google Drive API (for file storage)
PDFCrowd API (for PDF conversion)

Pre-setup steps:

Create a Telegram bot and obtain the bot token
Set up Google Drive folder structure for file organization
Create Google Sheets template with proper column headers
Configure API rate limits and usage quotas

Workflow Breakdown

🔌 Input Processing Nodes

Student Query Intake Bot (Telegram Trigger) Student Query Intake Bot (Telegram Trigger)

Listens for incoming student messages with assignment details
Monitors specific chat ID for authorized users
Triggers workflow when structured assignment requests are received

Structured Data Parser (Code Node)

Extracts student information using regex patterns
Parses: Name, Faculty, Department, Level, Course, Registration Number
Automatically sets current date and handles missing data
Outputs clean JSON structure for AI processing

🤖 AI Processing Nodes

Student Assignment Auto-Composer (LangChain Agent)

Main AI orchestrator for assignment generation
Uses structured prompts for consistent academic formatting
Generates 500-word answers per question with APA citations
Ensures plagiarism-free, original academic content

Generator Model (Google Gemini Chat)

Primary AI model for high-quality content generation
Handles complex academic writing and formatting requirements

Fallback Model Generator (Google Gemini - Gemma)

Backup AI model ensuring workflow reliability
Activates when primary model encounters issues

Structured Output Parser (LangChain)

Validates AI-generated content against JSON schema
Enforces required field compliance and format consistency
Auto-fixes common formatting issues

🔧 Processing & Error Handling

Error Handler (Code Node)

Handles text processing errors and data type issues
Converts non-string values and provides error recovery
Ensures workflow continuity even with problematic data

Wait Node

Introduces strategic 2-second delay for processing stability
Allows AI processing to complete before next steps

📊 Data Management Nodes

Edit Fields (Set Node)

Maps AI output to Google Sheets column structure
Ensures data consistency for database storage

Long Essay Record Sheet (Google Sheets)

Stores complete assignment records with metadata
Maintains comprehensive student assignment database
Uses Name field as unique identifier for record updates

📄 Document Generation Nodes

Static HTML Builder (LangChain Agent)

Converts structured data into professional HTML documents
Applies academic formatting: Times New Roman, 12pt, double-spaced
Creates university-standard document structure

HTTP Request (PDF Conversion)

Converts HTML to high-quality PDF using PDFCrowd API
Maintains academic formatting and professional appearance
Uses student name for file identification

☁️ Storage & Delivery Nodes

Upload File (Google Drive)

Stores generated PDFs in organized Drive folders
Creates shareable links for easy access
Maintains systematic file organization

Send Text Message (Telegram)

Delivers Google Drive download link to student
Completes the automation cycle with instant access

Input Format

Students should format their Telegram messages as follows:

Name: John Doe
Faculty: Engineering  
Department: Computer Science
Level: 200L
Course: CSC 201 - Data Structures
Reg number: 2024001234

Question:
1. Explain the concept of Big O notation
2. Compare different sorting algorithms
3. Discuss the applications of binary trees

Features

✨ Intelligent Processing

Smart Input Parsing: Handles unstructured text inputs automatically
Multi-Question Support: Processes complex assignment requirements
Data Validation: Ensures complete and accurate information capture

🎓 Academic Excellence

University Standards: Professional formatting and citation styles
Original Content: Plagiarism-free AI-generated assignments
Comprehensive Answers: 500+ words per question with detailed explanations

🛡️ Reliability & Error Handling

Fallback Systems: Multiple AI models for continuous operation
Error Recovery: Automatic handling of processing issues
Data Integrity: Schema validation and field verification

Use Cases

This workflow template is perfect for:

📚 Educational Institutions: Automate student assignment processing and grading assistance
👨‍🎓 Academic Support Services: Provide structured learning assistance and content generation
🏫 Online Learning Platforms: Integrate assignment automation into educational systems
📝 Content Creation Services: Generate academic-quality content for educational purposes
🤖 AI Learning Projects: Implement complex AI workflows with multiple service integrations

Output Examples

Generated Assignment Features:

Professional formatting with Times New Roman, 12pt font, double-spacing
Complete academic structure including headers, student information, questions, and references
Comprehensive answers averaging 500+ words per question with detailed explanations
Proper citations in APA format with authentic academic references
PDF delivery through shareable Google Drive links

Database Records:

Complete student information tracking
Assignment question and answer storage
Timestamp and metadata preservation
Easy retrieval and analysis capabilities

Performance & Reliability

Processing Time: 2-3 minutes per assignment
Success Rate: >95% with fallback mechanisms
Content Quality: University-standard academic writing
Scalability: Handles multiple concurrent requests
Error Recovery: Automatic retry and alternative processing paths

Customization Options

Easily configurable elements:

Chat IDs: Modify for different Telegram groups or users
AI Models: Switch between different Google Gemini models
Document Formatting: Adjust academic standards and styling
Storage Locations: Configure Google Drive folders and naming conventions
Database Fields: Modify Google Sheets columns and data structure

Advanced customizations:

Add support for different document formats (Word, LaTeX)
Integrate additional AI providers (OpenAI, Claude, etc.)
Implement grading and feedback mechanisms
Add multi-language support
Create batch processing capabilities

Getting Started

Import the workflow into your n8n instance
Configure credentials for all required services
Set up Telegram bot and obtain necessary permissions
Create Google Drive folders and Google Sheets template AI-Powered Academic Assignment
Test with sample data to ensure proper functionality
Deploy and monitor for production use

🔗 Nodes Used

Google Sheets, HTTP Request, Telegram, Telegram Trigger, Google Drive, AI Agent

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup