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SUMMAR VERSA

Description -

Summarversa is a web-based platform that offers text, file, audio, and video summarization services.

It utilizes advanced natural language processing (NLP) and machine learning (ML) algorithms to generate concise summaries from various input sources.

Users can easily summarize documents, articles, research papers, audio files, and video files, saving time and effort in extracting key information.

Features:

Text Summarization: Users can input text and receive a summarized version of the content.

File Summarization: Supports various file formats including txt, pdf, docx, jpg, jpeg, png, gif, xlsx, and xls for summarization.

Audio Summarization: Allows users to upload audio files in wav format and obtain a textual summary of the audio content.

Video Summarization: Supports mp4 video files for summarization, providing a textual overview of the video content.

Contact Form: Provides a contact form for users to reach out with inquiries or feedback.

Application:

Academic Research: Students and researchers can use SynthScribe to quickly summarize research papers, articles, and other academic materials.

Business Reports: Professionals can utilize the platform to summarize lengthy business reports, presentations, and documents for concise insights.

Media Analysis: Media professionals can extract key information from audio and video recordings, facilitating media analysis and content creation.

Personal Use: Individuals can summarize personal documents, notes, and audio recordings for better organization and understanding.

Business Model:

Freemium Model: Offer basic summarization services for free with limitations on usage or features.

Premium plans can be offered with additional features such as unlimited summarization, advanced customization options, and priority support.

Subscription Plans: Implement subscription-based pricing models with tiered plans catering to different user needs. Offer monthly or annual subscriptions with discounts for long-term commitments.

Pay-per-Use: Charge users based on the number of summarization tasks performed or file sizes processed. This model allows for flexibility and scalability.

Enterprise Solutions: Offer custom solutions and dedicated support for businesses and organizations with large-scale summarization needs. Provide tailored pricing based on the volume of usage and specific requirements.

How to Run the Project:

Development Environment Setup: Install necessary dependencies such as web servers (e.g., Apache, Nginx), programming languages (e.g., Python, PHP), and frameworks (e.g., Flask, Django) for backend development.

Database Configuration: Set up a database (e.g., MySQL, PostgreSQL) to store user data, summaries, and other relevant information.

Frontend Development: Customize the HTML, CSS, and JavaScript files to enhance the user interface and ensure responsiveness across different devices.

Backend Development: Implement server-side logic for handling form submissions, file uploads, text processing, and generating summaries using appropriate libraries and APIs (e.g., NLTK, TensorFlow).

Backend Setup (Python with Flask):

pip install flask nltk

Finally || working demo

|| https://document-summarizer-model-qiac.vercel.app/ ||