Goli Sai Tejanya

Designed and developed an AI-powered virtual laboratory platform using HTML, CSS, and JavaScript to provide interactive engineering experiments for remote learners. Implemented adaptive learning features that analyze user performance and deliver personalized experiment guidance, improving the learning experience and engagement. Created a responsive and user-friendly interface that enables students to access virtual lab simulations seamlessly across desktop and mobile devices. Integrated real-time experiment simulations and interactive visualizations, allowing users to perform laboratory activities safely without physical equipment. Developed automated feedback and assessment modules that evaluate experiment results and provide instant recommendations for improvement. Enhanced accessibility and remote education capabilities by enabling students to conduct practical engineering experiments anytime and from any location. Optimized application performance through efficient JavaScript programming and dynamic content rendering, resulting in smooth user interactions and faster response times. Result: Successfully delivered a virtual learning environment that improves practical engineering education, increases student engagement, and supports adaptive remote learning through AI-driven assistance.

Designed and prototyped an interactive digital platform in Figma to explore the ethical, legal, and societal implications of AI-generated evidence in judicial proceedings. Conducted research on challenges such as algorithmic bias, transparency, authenticity verification, and accountability in AI-generated legal evidence to inform the platform design. Created user-centered wireframes and high-fidelity prototypes that present complex legal concepts through intuitive navigation and visual storytelling. Developed interactive screens demonstrating real-world legal scenarios involving AI-generated evidence, helping users understand potential risks and ethical concerns. Implemented clear information architecture and accessibility-focused design principles to improve usability and engagement for students, researchers, and legal professionals. Designed data visualization components and case-study sections to illustrate the impact of AI technologies on evidence reliability and judicial decision-making. Collaborated on evaluating design effectiveness through feedback and iterative improvements, ensuring accurate representation of legal and ethical considerations. Result: Successfully delivered a comprehensive Figma prototype that raises awareness of the ethical implications of AI-generated evidence in legal proceedings and supports informed discussions on responsible AI adoption within the justice system.