Vachout

• 

  this is the interface i was aiming for by time constraints i couldint get to the the out i aim for but i will continue to build this project

In my latest project, I developed a VALORANT Coach App that leverages LlamaIndex for efficient data indexing, AWS Bedrock for deploying AI models, and a React front end for an intuitive user experience.initially I struggled with the massive dataset of player statistics and match histories provided by riot ,so planned to scrape structured data from VLR.gg using BeautifulSoup. However, I discovered AWS’s native scraping functionality for knowledge base creation, which prompted me to pivot my approach. This decision allowed me to focus on utilizing AWS features to build a more robust solution. By integrating this scraped data, I created a comprehensive repository of player metrics. Using LlamaIndex enabled fast queries for real-time insights, while AWS Bedrock facilitated the deployment of AI models that provide personalized coaching advice. Although I aimed to experiment with AWS Glue for data extraction, time constraints limited that aspect. Overall, this project highlights the power of combining modern technologies to enhance the gaming experience for VALORANT players. i couldn't complete the video demo on time I am getting issues with aws bedrock I have shown in the video

Built With

• bedrock