Objective:

To develop an AI-based system that automatically generates concise summaries of lecture videos, audio recordings, or text-based notes, helping students quickly revise key concepts and topics.

Why Choose This Project:

• Saves students time by condensing lengthy lectures into essential points.

• Supports multi-format input: video, audio, PDF, or text.

• Integrates NLP and speech-to-text technologies, giving hands-on experience with AI for education.

• Enhances accessibility for students with learning disabilities or those who prefer quick revisions.

Key Features:

Technology Stack:

• Frontend: HTML, CSS, JavaScript, React.js / Angular.

• Backend: Python (Flask / Django) for API and processing.

• Database: MongoDB / MySQL for storing transcripts and summaries.

• AI/ML Tools:

  • Speech-to-Text: Google Speech-to-Text API, Azure Speech Services, or OpenAI Whisper.

  • Text Summarization: Hugging Face Transformers (BERT, T5, GPT models) or spaCy.

  • Translation (Optional): Google Translate API or AWS Translate.

• Cloud Integration: AWS S3 / Google Cloud Storage for storing lecture videos and transcripts.

Working Flow:

1. Lecture Upload

   • Users upload lecture videos, audio files, or text notes to the platform.

2. Speech-to-Text Conversion

   • Audio/video lectures are transcribed into text using speech recognition models.

3. Text Summarization

   • Transcribed text is processed with NLP models to generate a concise summary.

   • Important keywords and concepts are highlighted.

4. Optional Translation

   • Summaries can be translated to other languages for broader accessibility.

5. Storage & Access

   • Summaries are stored in the database and optionally downloadable as PDFs or TXT files.

   • Integrated search allows students to quickly find topics within the summaries.

6. Integration with LMS

   • Summaries can be linked to corresponding lectures or course modules in an online learning platform.

Main Modules:

1. File Upload Module (video/audio/text)

2. Speech-to-Text Module

3. Text Summarization Module

4. Keyword Highlighting & Indexing Module

5. Download & Export Module

6. LMS Integration Module

Security Features:

• Secure file upload and storage with encryption.

• Role-based access for students, educators, and admins.

• Access logging for monitoring who views or downloads summaries.

• Optional authentication via OAuth or LMS login integration.