- Project's Title
- Project Description
- Key Features
- Problems Solved
- How to Install and Run
- How to Use the Project
- Credits
- License
Wave.io is an innovative and comprehensive audio analytics platform that empowers businesses to unlock valuable insights from their audio data. By leveraging state-of-the-art technologies, Wave.io streamlines the process of analyzing audio files, providing advanced features for diarization, automatic speech recognition (ASR), and keyword extraction across various categories.
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Automatic Dashboard Creation:
- Wave.io offers automated dashboard creation for 55 different audio datasets, providing users with comprehensive visualizations and insights. Whether it's call center data, interview recordings, or conference proceedings, Wave.io's dashboard creation feature simplifies data analysis and enhances decision-making.
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Diarization and ASR:
- Wave.io's advanced diarization and automatic speech recognition (ASR) capabilities enable accurate segmentation and transcription of audio recordings. By separating speakers and transcribing speech, Wave.io facilitates efficient content analysis and extraction of valuable insights.
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Keyword Extraction:
- With Wave.io, users can effortlessly extract keywords from audio data, categorizing content into meaningful topics and themes. By identifying relevant keywords and phrases, Wave.io helps businesses uncover actionable insights and trends within their audio recordings.
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Report Generation:
- Wave.io simplifies report generation by automatically summarizing key points from audio conversations. Whether it's customer interactions, team meetings, or support calls, Wave.io generates concise reports that highlight important details and insights.
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Customer Engagement Score:
- Wave.io calculates customer engagement scores based on audio analysis, providing businesses with quantifiable metrics to measure customer interaction and satisfaction. By analyzing factors such as tone, sentiment, and duration, Wave.io helps businesses gauge customer engagement levels and optimize their strategies accordingly.
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Interactive Visualization:
- Wave.io offers interactive visualization tools that allow users to explore and analyze audio data in a dynamic and intuitive manner. From trend analysis to sentiment mapping, Wave.io's visualization capabilities empower users to gain deeper insights and make informed decisions.
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Quality Assurance Reporting:
- Wave.io provides quality assurance reporting functionality, enabling businesses to assess and monitor the quality of their audio interactions. By identifying areas for improvement and potential issues, Wave.io helps businesses enhance service delivery and customer satisfaction.
With its comprehensive feature set and advanced capabilities, Wave.io revolutionizes audio analytics, empowering businesses to extract actionable insights and drive strategic decision-making.
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Data Analysis Automation: Wave.io automates the process of analyzing audio data, eliminating the need for manual transcription and analysis. This saves time and resources, enabling businesses to focus on deriving actionable insights from their data.
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Customer Feedback Analysis: By categorizing customer feedback into meaningful categories such as positive feedback, negative feedback, and constructive feedback, Wave.io helps businesses gain deeper insights into customer sentiment, preferences, and pain points.
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Competitor Performance Monitoring: Wave.io enables businesses to track and analyze competitor performance across various metrics such as speed, features, usability, customer support, price, reliability, innovation, market presence, brand reputation, customization options, and integration capabilities.
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Product Insights: With Wave.io's keyword extraction capabilities, businesses can gain valuable insights into their products, identifying key features, customer preferences, and areas for improvement.
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Conversation Analysis: Wave.io facilitates the analysis of conversations between customers and agents, helping businesses understand common topics, customer inquiries, and areas for improvement in customer service.
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Issue Detection and Resolution: Wave.io identifies and categorizes issues mentioned in audio recordings, enabling businesses to proactively address technical issues, account problems, billing errors, service interruptions, performance degradation, accessibility challenges, usability concerns, product defects, policy violations, security breaches, communication problems, and integration issues.
Installation of Dependencies:
Ensure that the necessary dependencies are installed using the appropriate package manager. For Python, you can install dependencies using the following command:
pip install requirements
Setup Environment:
Make sure you have the required runtime environment set up. This might involve installing the correct version of Python, Node.js, or any other necessary runtime environment.
Download or Clone the Code:
You can obtain the code by downloading it directly from a source like GitHub or by cloning the repository if it's version-controlled using Git.
Navigate to the Directory:
Open a terminal or command prompt and navigate to the directory where the code is located using the cd command.
Install Additional Dependencies (if any):
If the code has additional dependencies not included in the repository, install them using the appropriate package manager.
Run the Code:
Execute the code using the relevant command or script. For example, you can run a Python script with:
python manage.py runserver
Using Wave.io is straightforward. Simply upload your audio files to the platform and follow the prompts to initiate analysis. Once the analysis is complete, you can access detailed reports, dashboards, and key insights generated by Wave.io. Additionally, utilize the audio chat feature to communicate with ease.
Wave.io is developed by Niteesh Pandey , Shazin abbas , Divyanshu Singh out team Do puff code . Special thanks to [Collaborators] for their contributions to the project.
This project is licensed under the [Choose a License] License. For more information, refer to the LICENSE file.
Thank you for taking the time to read through this README. Your attention is greatly appreciated! If you have any feedback, suggestions, or contributions, please feel free to reach out. Your input helps us improve our project and make it even better for the community. We welcome collaboration and value your participation in making this project successful.