PPT

[bhimavarapumurali]

Slide Title: Data Grid Performance and Usability Enhancements

Current State:

• Problem: Users experienced long wait times on the landing page due to data loading.
• Impact: Reduced user satisfaction and productivity due to delays in initial data load.

Target State:

• Goal: Improve data load speed and streamline the user experience on the landing page.

Solution:

1. Global Filter Implementation:

   • Enhancement: Added a global filter to allow users to apply multiple column filters with a single click.
   • Benefit: Users can save filters for future use, reducing repetitive actions and increasing productivity.

2. Sticky Columns in Data Grid:

   • Enhancement: Key columns remain visible while scrolling through large datasets.
   • Benefit: Improves readability and maintains context, making navigation more efficient.

3. Row Summary Feature:

   • Enhancement: Provided a summary view for each row, presenting all data in a more readable format.
   • Benefit: Increases clarity and accessibility of data for users.

Benefit:

• Time Saved per Load: 30 seconds
• Average Sessions per User per Day: 10
• Total Users: 2000
• Hourly Wage: $15

Projected Cost Savings:

• Dollar Savings per Day: $2,500.05
• Annual Savings: $625,012.50

Time Needed for POC: XX days

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[bhimavarapumurali]

Thank you for clarifying. Here’s the updated data summary with the revised details for Solution 1:

Project Summary: Data Grid Performance and Usability Enhancements

1.  Current State:
•   Problem: Users experienced long wait times on the landing page due to inefficient data loading, which reduced productivity.
•   Limitation: Existing design requires individual API calls for each filter, and applying multiple filters is not possible.
2.  Target State:
•   Goal: Improve data load speed and streamline the user experience by enabling efficient, multi-filtered data retrieval and saving preferred filters for future use.
3.  Solutions:
•   Global Filter Implementation:
•   Current Limitation: Each filter currently calls a separate API, and multiple filters cannot be applied simultaneously.
•   New Approach: Enables users to link multiple filters, apply them with a single call, and save these configurations for future sessions. This new setup preloads data based on saved filters, reducing load times and enhancing personalization.
•   Sticky Columns in Data Grid:
•   Enhancement: Key columns remain visible while scrolling through extensive datasets.
•   Benefit: Maintains context and readability, facilitating efficient navigation.
•   Row Summary Feature:
•   Enhancement: Presents all row data in a summary view, making information more accessible.
•   Benefit: Improves readability and allows users to access data at a glance.
4.  Projected Cost Savings:
•   Dollar Savings per Day: $2,500.05
•   Annual Savings: $625,012.50
5.  POC Requirement:
•   Estimated Time: XX days needed for creating POC.

Let me know if you’d like any further adjustments.

[bhimavarapumurali]

A clear problem statement for usability improvements in your data grid could be:

Problem: Users find the current data grid cumbersome and time-consuming to navigate. Key usability limitations include:

1.  Inefficient Filtering: The inability to apply multiple filters simultaneously results in multiple clicks, leading to frustration and a slower workflow.
2.  Poor Data Visibility: Users lose track of essential information when scrolling through large datasets, as key columns aren’t fixed in place.
3.  Readability Issues: The lack of a summarized view per row makes it difficult for users to quickly scan and comprehend relevant data.

These issues collectively increase user wait time and reduce productivity, resulting in dissatisfaction and inefficiencies in accessing critical information.

[bhimavarapumurali]

Here’s a detailed presentation structure tailored to focus on your AR-based holographic banking assistant. This structure includes all the essential information to effectively communicate the concept, benefits, and technical workflow of the AR solution.

Slide 1: Title Slide

•   Title: “AR-Based Interactive Banking Assistant with Sign Language Accessibility”
•   Subtitle: “Bringing inclusivity and innovation to banking with Augmented Reality”
•   Presenters: [Your team names]
•   Date: [Presentation Date]
•   Visuals: A cover image showing a bank setting with an AR interface, possibly depicting the AR assistant interacting with a user.

Slide 2: Problem Statement / Current State

•   Title: “Current Challenges in Banking Accessibility”
•   Key Points:
•   Traditional banking services lack support for non-verbal, sign language users.
•   Current systems often require third-party interpreters, compromising privacy and independence.
•   Inaccessible banking services limit the experience for a large demographic of non-verbal communicators.
•   Visuals: Iconic graphics representing communication barriers, like users unable to interact easily with standard banking systems.

Slide 3: Purpose and Opportunity Statement

•   Title: “Purpose & Opportunity”
•   Key Points:
•   Purpose: To create an accessible banking experience with an AR-based assistant that understands and responds in sign language.
•   Opportunity:
•   Enable banks to serve non-verbal users effectively, setting a new standard in inclusive banking.
•   Leverage AR technology to differentiate banking services and create unique customer experiences.
•   Expected Impact:
•   Enhanced accessibility, privacy, and convenience for sign language users.
•   Competitive advantage for banks adopting cutting-edge, customer-centered solutions.
•   Visuals: A graphic showing the gap between current banking options and the desired state for inclusivity and accessibility.

Slide 4: Solution Overview

•   Title: “Solution: AR-Based Interactive Banking Assistant”
•   Key Points:
•   The AR banking assistant is accessed via mobile devices or in-branch AR kiosks, enabling users to communicate seamlessly in sign language.
•   The assistant interprets sign language, processes the user’s request, and responds in sign language via 3D animation.
•   Advantages:
•   On-the-Go Accessibility: Accessible through users’ smartphones or AR glasses.
•   Privacy: Users can independently manage transactions without needing interpreters.
•   Engagement: An immersive, intuitive experience that adapts to various banking scenarios.
•   Visuals: Mockups or illustrations showing the AR assistant displayed on a smartphone screen.

Slide 5: Use Case

•   Title: “Use Case: A Seamless Banking Experience”
•   Scenario:
•   User: A customer who relies on sign language as their primary communication method.
•   Process:
1.  Step 1: The user opens the banking app and selects the AR assistant option.
2.  Step 2: The user signs a question (e.g., “What’s my account balance?”).
3.  Step 3: The app’s camera detects and interprets the sign language.
4.  Step 4: The assistant processes the query, retrieves the information, and responds in sign language via an AR hologram.
•   Visuals: Flowchart or series of images illustrating each step of the user interaction.

Slide 6: Technical Architecture

•   Title: “Technical Architecture Overview”
•   Components:
•   AR Interface: Delivers the assistant on smartphones, tablets, or AR glasses.
•   Gesture Recognition and Sign Language Interpretation: Uses the device’s camera and AI models to interpret user gestures.
•   Natural Language Processing (NLP): Converts interpreted signs into structured queries.
•   Banking Data Retrieval: Secure access to banking databases for accurate, real-time information.
•   Response Generation: AR renders a response in sign language, displayed as a holographic assistant.
•   Visuals: Architecture diagram with labeled components.

Slide 7: Workflow Diagram

•   Title: “Detailed Workflow of the AR Banking Assistant”
•   Diagram:
•   A linear flow diagram showing:
1.  User Interaction: User signs their question through the AR interface.
2.  Gesture Recognition: AI recognizes and interprets the sign language.
3.  NLP and Query Processing: AI processes the query and accesses the database.
4.  Response Display: AR assistant displays the response in sign language.
•   Visuals: Use icons or visuals representing each step to make the workflow easy to follow.

Slide 8: Security and Privacy Considerations

•   Title: “Security and Privacy in AR Banking”
•   Key Points:
•   Data Encryption: End-to-end encryption for all data transmission to protect user information.
•   Privacy Controls: Only relevant data is accessed, ensuring user-specific responses without unnecessary data exposure.
•   Secure Cloud Processing: Sensitive queries are processed securely in compliance with financial data regulations.
•   Visuals: Icons representing security features like encryption and secure cloud.

Slide 9: Benefits of the AR Solution

•   Title: “Benefits of the AR Banking Assistant”
•   Key Points:
•   Increased Accessibility: Non-verbal customers gain direct, private access to banking services.
•   Enhanced Customer Satisfaction: An innovative experience that is intuitive and customer-focused.
•   Scalable and Adaptable: Can be extended across branches or adapted to personal devices.
•   Competitive Edge: Positions the bank as a leader in customer-centric innovation.
•   Visuals: Infographic showing key benefits.

Slide 10: Implementation Phases

•   Title: “Implementation Roadmap”
•   Phases:
1.  Research & Development: Testing AR software, sign language recognition models, and AI processing.
2.  Pilot Program: Implementing in select branches and with test groups for initial feedback.
3.  Feedback & Optimization: Refining based on user feedback, improving accuracy and user experience.
4.  Full Deployment: Expanding AR assistant to additional branches and launching the mobile app.
•   Visuals: Timeline or roadmap graphic for each phase.

Slide 11: Future Potential and Scalability

•   Title: “Future Potential and Scalability”
•   Key Points:
•   Expansion into Other Services: AR assistant could handle more complex banking interactions or be applied in sectors like healthcare, retail, and public services.
•   Additional Language Support: Expansion to recognize and support multiple sign languages or other non-verbal communication methods.
•   Integration with Smart Devices: Compatibility with emerging AR/VR hardware to maintain technological relevance.
•   Visuals: Icons representing various sectors and future possibilities.

Slide 12: Conclusion and Call to Action

•   Title: “Inclusive Banking for a Modern World”
•   Key Points:
•   Summarize the importance of accessibility in banking and the role of AR technology.
•   Encourage stakeholders to support the implementation of the AR banking assistant.
•   Closing Statement: “With our AR-based assistant, we’re not just creating a tool; we’re building an inclusive future for everyone in banking.”
•   Visuals: Inspirational image showing a user interacting happily with the AR assistant in a bank.

This slide layout provides a comprehensive way to convey your idea, showing both the innovative aspects of the AR solution and the practical steps to bring it to life. Let me know if you need specific slides further detailed or if you’d like diagrams or visuals for any particular slide.

[bhimavarapumurali]

graph TD A[User opens banking app] --> B[User selects AR assistant option] B --> C[User signs a question: “What’s my account balance?”] C --> D[App camera detects and interprets the sign language] D --> E[Assistant processes the query] E --> F[AR hologram responds in sign language with account balance]

[bhimavarapumurali]

flowchart LR A([👤 User Interaction: User signs their question through the AR interface]) B([🖐️ Gesture Recognition: AI recognizes and interprets the sign language]) C([💻 NLP and Query Processing: AI processes the query and accesses the database]) D([🖥️ Response Display: AR assistant displays the response in sign language])

A --> B
B --> C
C --> D