Kasidech Aewsrisakul@tonpia
is under improvement
3
Events attended
1
Submissions made
Thailand
3 years of experience
About me
Kasidech Aewsrisakul As a passionate high school student from Triam Udom Suksa School in Thailand, I have immersed myself in the fields of machine learning and cryptocurrency trading for over four years. My journey has led me to the creation of a successful automated trading bot, underscoring my expertise in both technological and financial domains. My machine learning journey goes beyond trading, spanning impactful projects like creating predictive models for detecting cancer. This commitment to using technology for positive change led me to winning at YSC2023 and recognition at ISEF2023. Building on this, my work on cancer project earned me invitations to speak at SCS 2023 in France, ITC-CSCC 2023 in South Korea, and etc. I'm always excited to learn new things and explore fresh ideas. If you want to get in touch, you can reach me at [email protected]. I'm enthusiastic about discovering new opportunities and experiences ahead.
is under improvement
🤓 Submissions
DEEPSYMP - Evidence-Based Diagnostic AI
💼In the realm of traditional diagnostics, several challenges loom large. Patients often struggle to assess symptoms accurately, leading to worsened illnesses. Healthcare accessibility remains limited, with barriers such as time and finances preventing many from seeking necessary care. The imbalanced workforce places undue pressure on doctors, potentially compromising patient care.🚀Enter DeepSymp+: An evidence-based diagnostic AI poised to revolutionize healthcare. This platform offers precise symptom evaluation, benefiting both patients and providers, and fostering a more efficient healthcare system.🛠️ We constructed DeepSymp+ using a combination of technologies, including Streamlit, LlamaIndex, MongoDB, ChatGPT, and Trulens. Leveraging OpenAI's LLM, we equipped our AI with the ability to provide medical advice based on a vast database of knowledge. Each component underwent rigorous testing and optimization using Trulens evaluation functions.🏋️♂️Initially, our AI faced three primary challenges: Accuracy, Context Faithfulness, and Cost Efficiency. Through diligent testing and optimization, such as enriching our medical knowledge database and optimizing our pipeline with Trulens, we successfully overcame these hurdles.🏅We take pride in developing a diagnostic AI that substantiates its evaluations with medical evidence from textbooks and research papers, contributing to healthcare improvement.🔮Our journey doesn't end here. We'll continue innovating and iterating upon DeepSymp+. Our plans include building a web application, ensuring model accuracy and safety through thorough testing, and ultimately launching the project. We remain committed to refining and enhancing our groundbreaking diagnostic AI.
