Featured Case Studies
SeedSense: Revolutionizing Agricultural Trials with Offline-First Data Management and AI-Powered Insights
SeedSense is revolutionizing agricultural trials with its offline-first mobile app, designed to streamline data collection, management, and analysis. With features like AI-powered insights, seamless cloud integration, and professional-grade PDF reports, SeedSense empowers organizations to make informed decisions and optimize trial outcomes—anytime, anywhere. Discover how this innovative solution is transforming the future of agricultural data management.
Journey into Hardware Design and Building a RISC-V Processor
From scratch to a fully functional RISC-V processor, this project honed my skills in implementing the RV32I architecture, mastering System Verilog, and automating validation workflows. Overcoming challenges like incomplete resources and complex logic development, I gained expertise in scalable designs like NoCs and SoCs. This milestone set the stage for delivering reliable, high-performance hardware solutions tailored to client needs.
Revolutionizing Mental Health Care with TheraVysion
TheraVysion integrates VR, AI, and real-time assessments to revolutionize mental health therapy. By creating immersive VR environments for phobia treatment, such as height-based scenarios, and enabling AI-powered live interviews, it delivers a personalized and scalable solution. The offline-first architecture ensures seamless data synchronization, while physiological monitoring enhances therapy outcomes. TheraVysion sets a new benchmark in accessible, innovative mental health care.
Emotisement – Revolutionizing Emotion-Based Advertisement Strategies
Emotisement leverages AI and facial expression analysis to transform how advertisers connect with their audience. By detecting emotions in real-time, it enables the delivery of personalized advertisements tailored to viewers’ emotional states. This approach enhances engagement, optimizes marketing strategies, and offers actionable insights that help businesses make data-driven decisions. The innovative use of emotion detection through a CNN model, combined with OpenAI integration and a user-friendly interface, marks Emotisement as a significant advancement in the future of marketing.