1
1
United States
3 years of experience
Hi, I'm Keval Shah, a Robotics and Autonomous Systems major from Arizona State University, specializing in machine learning, AI, and NLP. With a passion for pushing the boundaries of technology, I've dedicated my academic and professional journey to mastering the intricacies of machine learning and its application in real-world scenarios.
# Purpose: Simplify access to public assistance by delivering timely, personalized notifications about eligible benefits directly to users. # Target Users: Primarily low-income individuals, elderly citizens, veterans, people with disabilities, and others facing benefit access challenges. # Challenges Addressed: - Complex Application Processes: Reduces the difficulty of finding and applying for benefits. - Awareness Barriers: Alerts users to available support that they may not know about. - Language & Digital Literacy Barriers: Provides multilingual support and straightforward notifications. #Solution Components: - Automated Web Crawling: Regularly monitors official government websites to gather accurate benefit information. - Personalized Notifications: Sends tailored email alerts about relevant benefits based on user profiles. - Real-Time Updates: Ensures users receive immediate notifications of new or updated benefits. - Privacy & Security: Utilizes Google OAuth for secure user authentication. # Goal: To make benefit information accessible, proactive, and inclusive, minimizing barriers to public services for those in need.