Document Analyst – Growthyfai

Diamond AI Agents Hackathon

Anant • Mechanical Engineer

Tools: Vectorshift, ChatGPT, Loom, Clipchamp, Canva

Description: Botify Solutions Document Analyst - Lets you upload PDFs, DOCs, or TXT files and instantly get clear, cited answers with downloadable option

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Detailed Description

In most chatbots, knowledge is static, relying only on pre-fed knowledge bases. This makes them rigid and unsuitable for cases where users want to interact with new or unique documents on-the-go. Professionals, students, and teams often need a way to quickly analyze documents — whether it’s a PDF report, a Word file, or a text draft — and get direct, cited answers instead of reading through pages manually.
Our solution solves this by enabling users to upload their own documents instantly and start a real-time conversation with them.

Key Features
1. Multi-format Uploads
o Supports PDF, MS Word (DOC), TXT, and plain text files.
o Note: CSV, Excel, and other file types are not supported (yet).
2. Instant Q&A with Citations
o Users can ask any question about their uploaded document.
o Responses include page-level references, ensuring the answers are evidence-backed and trustworthy.
3. Downloadable Chat Responses
o Users can download responses as a text file for later reference, note-keeping, or sharing.

Benefits
• Dynamic Knowledge: Unlike static knowledge-base bots, this system adapts to any document you provide.
• Time-Saving: No need to skim through lengthy reports; just ask and get precise answers.
• Trustworthy: Every answer comes with references, ensuring accuracy and traceability.
• Convenient: Portable results — you can download your chat history as a text file.

Limitations
• File Format Restriction: Only PDF, DOC, TXT, and plain text files are supported; other formats like Excel, PowerPoint, or images are not yet compatible.
• No Multi-file Support: Currently, users can upload and interact with only one document at a time.
• No Offline Use: Requires an internet connection to process documents and return answers.

Future Upgradation
• Expanded File Support: Adding compatibility for Excel (CSV/XLSX), PowerPoint, and even scanned/image-based PDFs using OCR.
• Multi-document Chat: Enabling users to upload multiple documents and ask cross-referenced questions.
• Integration with Cloud Storage: Directly connect with Google Drive, Dropbox, or OneDrive for seamless uploads.
• Enhanced Exports: Options to export chat history in PDF/Word format with citations included.

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Submission Review & Analysis

✨ Summary: Document Analyst is an AI-powered tool that allows users to upload various document formats and receive instant, cited answers through a conversational interface.

💪 Strengths: 
✅ User-friendly multi-format upload capability enhances accessibility for diverse document types.  
✅ Instant Q&A feature with citations ensures reliable and traceable answers.  
✅ Downloadable chat responses provide convenience for future reference and sharing.  
✅ Dynamic knowledge interaction allows for real-time engagement with user-uploaded content.

🧑‍💻 Gaps / Risks:  
✅ Limited to specific file formats (PDF, DOC, TXT) restricts usability for users with other document types.  
✅ Single document upload at a time may hinder users needing to analyze multiple files simultaneously.  
✅ Internet dependency for processing could be a barrier for users in low-connectivity areas.  
✅ Lack of advanced features like cloud integration may limit user experience and efficiency.

🚀 Actionable Next Steps:  
✅ Prioritize expanding file format support to include Excel and PowerPoint to broaden user base.  
✅ Develop multi-document upload functionality to enhance user interaction and analysis capabilities.  
✅ Implement offline processing options to cater to users with limited internet access.  
✅ Explore cloud storage integrations to streamline document uploads and improve user convenience.  
✅ Enhance export options to allow users to save chat histories in more versatile formats like PDF/Word.

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