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We present our solution Lec2Learn that works on Finetuning open source learning data for providing learning objectives. We start by obtaining all textbooks from opentextbookbc, we Process HTML to obtain the lecture and learning objectives, We then have pairs of lectures with their corresponding question groups, On the server we use Microsoft Phi 1.5 model and we fine tune it, We fine tune on the opentext data which is used so that model gets better at generating learning objectives, For the Prompt we give the lecture and learning objectives, we always start with Describe so model does not generate random data.

FineTuners

A mental health counselor AI is a groundbreaking advancement in mental health care, combining artificial intelligence, machine learning, and natural language processing. It revolutionizes mental health care by offering scalable and accessible support worldwide. This AI emulates human mental health professionals, engaging in empathetic conversations, actively listening, and gaining insights into users' emotional states. It assesses and diagnoses conditions like depression and anxiety through responses, tone of voice, and facial expressions, serving as an early warning system. The AI offers tailored therapeutic interventions, providing evidence-based strategies for stress, anxiety, and depression. It adapts recommendations based on user progress and emotional changes. Its 24/7 availability ensures help is always accessible, reducing barriers to mental health care. Privacy and confidentiality are maintained through strict data security protocols. Integration with health records and systems enables collaboration between AI and human providers, offering comprehensive care. Scalability addresses the demand for mental health services, making care more accessible. Continuous learning improves personalized support over time. In summary, a mental health counselor AI is a transformative innovation, offering accessible, scalable, and personalized support. With diagnostic capabilities, therapeutic interventions, and 24/7 availability, it addresses the global mental health crisis and provides vital support to those in need.

Syatumm

Summerize is an innovative web application designed to facilitate efficient and structured information retrieval from online articles. With the primary goal of aiding students, researchers, and professionals in optimizing their research endeavors, Summerize offers the capability to extract essential content from web articles effortlessly. Incorporating a user-friendly interface, Summerize simplifies the process of obtaining article summaries. Users can input the URL of the desired article into the designated field on our platform. Upon clicking the "Summarize" button, Summerize employs advanced algorithms to swiftly distill the principal points, key insights, and critical takeaways from the article, presenting the user with a clear and coherent textual summary. Moreover, Summerize distinguishes itself by not only generating textual summaries but also by providing pertinent image prompts. Recognizing the significance of visual aids in presentations and research, the platform offers users the option to access relevant images extracted from the article. This feature enhances the quality and impact of presentations, ensuring that information is conveyed comprehensively and effectively. In summary, Summerize is a powerful tool that empowers users to streamline their research processes, save time, and enhance the quality of their academic and professional work. By continually refining its capabilities and expanding its offerings, Summerize aspires to become an indispensable resource for individuals seeking to navigate the complexities of online content with ease and efficiency.

Summerize