NovaVision AI

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Inspiration

What it does

How I built it# 🌌 NovaVision AI – Multimodal Understanding System

🚀 Inspiration

In today’s digital world, people constantly deal with images, documents, and videos that require time-consuming manual analysis. Students struggle to understand long PDFs, and users often need quick insights from visual data.

This inspired us to build NovaVision AI, a system that can see, read, and understand content like a human, making information more accessible and interactive.

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💡 What It Does

NovaVision AI is a multimodal AI platform that allows users to:

• Upload images, PDFs, or documents
• Ask questions in natural language
• Get instant AI-powered insights

It can:

• Detect objects and extract text from images
  
• Summarize documents
  
• Answer questions based on uploaded content
  

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🛠 How We Built It

We developed NovaVision using a combination of frontend, backend, and AI tools:

🔹 Frontend

• HTML, CSS, JavaScript
  
• Clean UI for file upload and chat interaction
  

🔹 Backend

• Python with FastAPI
  
• Handles file uploads and API communication
  

🔹 AI Processing

• PyTesseract for OCR (image text extraction)
  
• PyPDF2 for document parsing
  
• Designed to integrate with Amazon Nova / Bedrock for advanced AI
  

🔹 Workflow

1. User uploads a file
   
2. Backend processes the file
   
3. AI extracts and analyzes content
   
4. Response is generated and displayed
   

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⚙️ Challenges We Faced

1. File Handling

Managing different file types (images, PDFs) required separate processing pipelines.

2. OCR Accuracy

Extracting clean text from images was difficult, especially with low-quality inputs.

3. Frontend–Backend Connection

We faced issues with:

• CORS errors
  
• API connectivity
  
• Localhost configuration
  

4. AI Integration

Designing a system that can support real multimodal AI models (like Nova) required planning for scalability.

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📚 What We Learned

• How to build a full-stack AI application
  
• Handling file uploads and processing pipelines
  
• Working with OCR and document parsing tools
  
• Integrating frontend with backend APIs
  
• Understanding the power of multimodal AI systems
  

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🌟 Future Improvements

• Real-time camera analysis
  
• Voice-based interaction
  
• Multi-language support
  
• Advanced AI models for deeper understanding
  
• Cloud deployment using AWS
  

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🎯 Conclusion

NovaVision AI demonstrates how multimodal AI can simplify complex data understanding. By combining image and document intelligence, it creates a smarter and faster way to interact with information.

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✨ "Turning vision into intelligence with AI."

Challenges I ran into

Accomplishments that I'm proud of

What I learned

What's next for NovaVoice – AI Voice Assistant for Customer Support

Built With

• bedrock
• css
• javascript-pillow-(image-processing)-pytesseract-(ocr)-pypdf2-aws-(s3
• python-fastapi-html