AI
Smart Document Summarizer
Abstractive and extractive summaries.
Project overview
Smart Document Summarizer is a mentor-guided AI project designed for university submission. Document summarization tool supporting extractive and lightweight abstractive summaries for academic PDFs and notes. The build uses Python, Transformers, Gradio and is structured so you can explain architecture, modules, and test cases during viva. Typical delivery timeline is 6–8 weeks depending on package and college deadlines.
Best suited for: CSE / AI&DS students focusing on computer vision or NLP applications
Tech stack
Objectives
- Design and implement a working solution for “Smart Document Summarizer” aligned to academic evaluation criteria.
- Demonstrate core features such as File upload, Summary length, Highlight keywords.
- Produce documentation (synopsis, report chapters, and PPT) suitable for guide approval.
- Prepare viva-ready explanations for design choices, tech stack, and future enhancements.
Key modules
- Module: File upload
- Module: Summary length
- Module: Highlight keywords
- Documentation, deployment notes, and viva Q&A
Key features
- File upload
- Summary length
- Highlight keywords
- Export text
Deliverables
- Source code
- Report
- PPT
- Demo video
Learning outcomes
- Runnable source code with setup guide
- University-style report draft
- Presentation deck (PPT)
- Mentor review checkpoints
