Pioneering the Development of PWAs with Angular:By stating that you pioneered the development of PWAs using Angular, you're emphasizing your role as an innovator in adopting modern web technologies. PWAs are known for delivering a seamless user experience across various devices and network conditions.Spearheading a PWA Mobile App with Angular:Leading the development of a PWA mobile app using Angular suggests that you played a key role in the project. The 20% increase in user engagement and 10% decrease in bounce rate demonstrate the positive impact of your work on user interaction and retention.Building and Maintaining a PWA Mobile App with Angular:The emphasis on building and maintaining highlights the end-to-end responsibility you had in ensuring the PWA's optimal performance and responsiveness on different devices and browsers. This underscores your commitment to delivering a high-quality product.Collaboration with Cross-Functional Team:Mentioning collaboration with a cross-functional team implies that the project involved coordination with individuals from diverse skill sets. Meeting all deadlines and budget requirements indicates effective project management and teamwork.Development and Implementation of Innovative Features:Developing and implementing innovative features for the PWA mobile app using Angular suggests that your work went beyond basic functionality. This showcases your creativity and dedication to enhancing the overall user experience, which in turn contributed to positive business outcomes.

AI-based Discourse for the Banking Industry:The mention of an AI-based Discourse suggests that you've developed a comprehensive system for communication within the banking industry. This could include various aspects of conversation, information dissemination, and support.Chat-Bot Development for Banking Purposes:Creating a chatbot tailored for the banking sector implies that the AI system is designed to understand and respond to queries specific to banking operations. This could range from account inquiries to transaction details and other banking-related services.Customer Query Resolution:The primary function of the chatbot is to handle customer queries. Customers can interact with the chatbot to seek information, resolve issues, or get assistance with various banking matters. This enhances customer experience by providing quick and efficient responses.24/7 Access to Support:By ensuring that the chatbot is available 24/7, you're addressing the need for round-the-clock customer support. This is especially valuable in the banking industry where customers may have inquiries or issues at any time. The continuous accessibility improves customer satisfaction.Banks Improving Customer Engagement:The mention of banks making great use of the chatbot indicates that the solution is not just customer-centric but also benefits the banking institutions. Improving customer engagement suggests that the chatbot is contributing to a positive relationship between the bank and its customers, potentially leading to increased customer loyalty.

Venmurasu Team Community Internship:Mentioning the internship with the Venmurasu Team Community provides context about the project's affiliation, highlighting that you were part of a community or team during this initiative.OCR Model based on Google Tesseract:Tesseract is an open-source OCR engine developed by Google. It is widely used for recognizing text in images. Mentioning the use of Google Tesseract implies that your project is built on a well-established and reliable OCR technology.Converting Tamil Text from an Ancient Tamil Book to Editable Text:Your OCR model specifically targets ancient Tamil texts, indicating a focus on preserving and making accessible historical or cultural content. The goal of converting the text to an editable format implies an interest in digitalizing and preserving this content for further analysis or sharing.Leptonica Library for Image Processing:Leptonica is an image processing library that works well in conjunction with Tesseract. By mentioning its usage, you're highlighting that image preprocessing, an essential step in OCR, was performed effectively. This ensures that the input images were prepared optimally for the OCR engine to achieve better accuracy.Accuracy of 98%:Achieving a 98% accuracy is a significant accomplishment, indicating that your OCR model performs exceptionally well in recognizing and converting the ancient Tamil text. The comparison with a manually converted text document using cosine similarity suggests a thorough evaluation methodology.Cosine Similarity for Evaluation:Using cosine similarity to compare the results with a manually converted text document suggests a quantitative and rigorous evaluation approach. Cosine similarity is a measure of similarity between two vectors, often used in text analysis. Its application here indicates a robust method for assessing the accuracy of your OCR model.

Cultivated knowledge in application classification by using application resources. Conducted a rigorous comparison investigation to determine the best model for appropriately categorising apps. Using modern Deep Learning approaches such as GloVe and FastText, we achieved an outstanding 91% accuracy rate.