I need like this report generation website for random topics minimum 28 pages maximum 40 pages usercan input topic name and coding files upload and language choose create ai report same like this for 28 pages minimum
You want a website that generates AI-powered reports on random topics, with a minimum of 28 pages and a maximum of 40 pages. Users should be able to:
Enter a topic name
Upload coding files (optional)
Choose a language
Generate a structured report automatically
Proposed Solution
I'll outline the steps to develop this AI-based report generation website.
Tech Stack
Frontend: React.js (for a modern UI)
Backend: FastAPI (Python) or Node.js
AI Model: OpenAI GPT-4 or a custom LLM
Storage: MongoDB (for saving reports & user inputs)
File Handling: Cloud storage (AWS S3, Firebase, or local storage)
Core Features
- User Input Form
Topic Name
Language Selection (Python, Java, C++, etc.)
File Upload (Optional, for including code snippets)
- AI-Generated Report
Structured Content
Title Page: Includes topic, user details, date
Abstract: Summary of the report
Introduction: Explanation of the topic
Main Content: AI-generated detailed information
Code Explanation (if files are uploaded)
Diagrams & Charts (Auto-generated via Matplotlib/D3.js)
Conclusion: Summary & Future Scope
References
- Customization Options
Adjust length (28-40 pages)
Select formatting style (APA, IEEE, etc.)
Include/exclude code analysis
- Report Export
Download as PDF, Word (DOCX), or HTML
Option to share report via email
- AI Enhancements
Summarization & Expansion of Topics
Automatic Citations & Bibliography Generation
Code Explanation with Comments
Development Steps
-
Frontend Development: Create UI in React.js with form fields & preview section.
-
Backend API:
Accept topic, language & files
Generate structured report using AI
Store reports in the database
-
Report Formatting: Use Python libraries like ReportLab or Pandas to generate well-formatted reports.
-
Deployment: Host on AWS, Firebase, or Vercel.
I'll help you create a report generation website that can produce AI-powered reports between 28-40 pages based on user input topics, uploaded code files, and language selection. Let's build this with Next.js and the AI SDK.
AI-Powered Report Generator
Let's create a comprehensive report generation website that uses AI to produce detailed reports (28-40 pages) based on user-provided topics, code files, and language preferences.
Features
- Topic input with customization options
- Code file upload and analysis
- Language selection
- AI-generated structured reports (28-40 pages)
- PDF download functionality
- Responsive design
How It Works
This AI-powered report generator uses the AI SDK with OpenAI's models to create comprehensive reports based on user input. Here's how it works:
User Input Form: Users can specify:
- Report topic and description
- Language preferences
- Page count (28-40 pages)
- Code language (if uploading code files)
- Options for including code analysis and diagrams
- Upload code files for analysis
AI Report Generation: The application uses the AI SDK to generate structured reports 123. The system:
- Creates a detailed prompt based on user inputs
- Uses OpenAI's GPT-4o model to generate comprehensive content
- Structures the report with proper academic sections
- Analyzes uploaded code files (if provided)
- Suggests diagrams and visualizations
Report Preview: Users can preview the generated report with:
- Overview of key sections
- Full content view
- Table of contents
- Download and print options
- PDF Generation: The application allows users to download the report as a PDF document.
Technical Implementation
The application is built using:
- Next.js: For the frontend and API routes
- AI SDK: For integrating with OpenAI's models 12
- Tailwind CSS & shadcn/ui: For styling and UI components
- TypeScript: For type safety
The core AI functionality uses the generateText function from the AI SDK to create structured content:
const { text } = await generateText({
model: openai('gpt-4o'),
prompt,
system: "You are an expert academic report writer...",
});Customization Options
You can customize this application by:
- Adding more language options: Expand the language selection dropdown
- Supporting more code languages: Add additional programming languages to the code language dropdown
- Enhancing PDF generation: Implement a more robust PDF generation solution using libraries like jsPDF or react-pdf for better formatting and styling
- Adding collaboration features: Enable sharing reports with team members or classmates
- Implementing user accounts: Allow users to save and manage their generated reports
Future Enhancements
To make this application even more powerful, consider these enhancements:
- Citation Management: Automatically generate and format citations for academic reports
- Real-time Collaboration: Allow multiple users to work on the same report simultaneously
- Template Library: Provide pre-defined templates for different report types (research papers, business reports, etc.)
- Advanced Code Analysis: Implement more sophisticated code analysis with suggestions for improvements
- Interactive Diagrams: Generate actual diagrams and charts instead of just descriptions
- Multi-format Export: Support exporting to various formats like DOCX, HTML, and Markdown
Deployment
You can deploy this application to Vercel with a single click. The AI SDK is designed to work seamlessly with Vercel's infrastructure 23.
Make sure to set up your OpenAI API key as an environment variable:
The code returns the following error:
Error generating report: OpenAI API key is missing. Pass it using the 'apiKey' parameter or the OPENAI_API_KEY environment variable.
at generateReport (/lib/report-generator)
at async handleSubmit (/components/report-generator)
Revise the code to address the error.
I'll fix the OpenAI API key error by updating the code to properly handle the API key and add better error handling.
What Was Fixed
I've addressed the OpenAI API key error by making several important changes:
Proper API Key Handling:
Server-Side API Route:
- Created a dedicated API route (
app/api/completion/route.ts) to handle the report generation - This ensures the OpenAI API key is only used on the server side, which is more secure 2
- Created a dedicated API route (
Better Error Handling:
- Added comprehensive error handling throughout the application
- Added a user-friendly error display in the UI
- Improved error messages to help users understand what went wrong
Updated Client Code:
- Modified the
handleSubmitfunction to use the new API route instead of calling the report generator directly - This ensures the API key is never exposed to the client
- Modified the
How to Set Up Your API Key
To use this application, you need to set up your OpenAI API key as an environment variable:
The code returns the following error:
API route error: OpenAI API key is missing. Please add it to your environment variables.
at Module.POST (/app/api/completion/route)
at async handleSubmit (/components/report-generator)
Revise the code to address the error.