Oumayma Essarhi@Oumayma_es

Leveraging the power of the Weaviate database and Cohere's cutting-edge text2vec embeddings, we've streamlined the Tadabor process—encouraging reflective contemplation, deep pondering, and thoughtful meditation on the profound verses of the Quran. Preserving the sanctity of Quranic text is paramount, and Cohere's RAG feature plays a pivotal role in maintaining data integrity. With the esteemed Ibn Kathir Tafsir, a profound scholarly commentary on the Quran, we delve into historical and contextual meanings, unraveling the intricate layers of wisdom embedded in each verse. In collaboration with Cohere's Gen AI and Langchain, we not only summarize but also simplify the essence behind the Quranic verses. Subsequently, users can handpick verses of personal significance, receiving invaluable guidance in their Tadabor journey. Cohere's generative model generates reflective questions tailored to the chosen verse and Tafsir, facilitating a deeper and more meaningful engagement with the sacred text.

In the ever-evolving landscape of E-Commerce, the pursuit of efficiency, reduced response times, and the enhancement of customer satisfaction and engagement is an unceasing endeavor. At the forefront of this evolution stands an innovative solution: the development and deployment of a highly advanced, multimodal Artificial General Intelligence (AGI) chatbot. Drawing inspiration from the aforementioned mission statement, this cutting-edge chatbot leverages the power of voice recognition, image analysis, and Natural Language Processing (NLP) to create a multifaceted user experience that transcends the limitations of conventional customer support. By addressing inquiries with agility and precision, this AGI chatbot ensures that users enjoy a seamless shopping journey, driving higher satisfaction rates and fostering long-lasting engagement. With a commitment to responsible AI utilization, it upholds the principles of safety and user well-being, establishing itself as an indispensable ally in the realm of E-Commerce. We are still developing our ideas into production as the demo will demonstrate a bit of it and These is due to the time span and available resources at hand. we developed this demo overnight not expecting to be perfect but working.

Our work involves the development of a medical chatbot that specializes in colorectal cancer. This chatbot is designed to provide consultation and support to individuals dealing with colorectal cancer. The primary goals of the chatbot include raising awareness about it, offering instant support to patients, and reducing the risk of misinformation. It aims to harness the power of technology to make a positive impact on the lives of individuals affected. We are contributing to the broader efforts in healthcare to improve patient support, increase awareness, and enhance the overall experience of these patients. It's a commendable initiative that aligns with the evolving landscape of healthcare and technology integration.

The Zenna Conversational Chatbot project aims to create a user-friendly AI assistant using Google Vertex AI's Palm 2 Foundational model chat-bison. Zenna focuses on providing helpful and uplifting information through verbal interactions, incorporating speech-to-text and text-to-speech for natural language interactions. It utilizes TruLens evaluations and complex prompt design to ensure thoughtful responses, acknowledge knowledge gaps, and prevent unintended harm. The ultimate goal is to develop an empathetic human-like advisor through beta testing to enhance conversational abilities and emotional intelligence before public release. And a Beta feature that will also enable it to summarize website through links through the langchain technology.

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