Hi, I’m Shreeram, a first-year MSCS student at NYU Tandon with a passion for merging AI, data analytics, and web development. I’ve led tech-driven projects, from building real-time AI models to crafting interactive sustainability platforms and IoT solutions. My focus is on creating innovative, impactful tools that bridge complex technologies with real-world applications.

Sustainable Nexus Platform, embodies a movement towards a sustainable future through its innovative services. Firstly, the Carbon Calculator allows users to easily assess their carbon footprint, gaining valuable insights to reduce environmental impact. Secondly, Insight ESG employs advanced automation to analyze company practices, offering detailed ESG scores derived from news data, thereby facilitating informed decisions aligned with sustainability goals. Lastly, Carbon Nexus unveils the environmental impact of websites by calculating carbon intensity] empowering users to make sustainable choices online.

A CNN model designed for multimodal medical image fusion represents a cutting-edge approach in healthcare, significantly enhancing disease identification and diagnosis by integrating data from diverse imaging modalities such as MRI, CT scans, and PET scans. This innovative technology improves patient care by providing more comprehensive and accurate insights into complex medical conditions, enabling clinicians to make better-informed decisions. The fusion of multiple imaging modalities through CNNs not only enhances diagnostic accuracy but also has the potential to revolutionize various fields of medical imaging.

Smart waste management in metropolitan areas leverages IoT technology, incorporating an ESP8266 microcontroller, GSM, and GPS modules for real-time waste level monitoring. This system efficiently tracks bin fill levels with ultrasonic sensors and pinpoints bin locations through GPS, optimizing routes and reducing operational expenses. Overall, it fosters environmental sustainability in urban settings.

Utilized a web application for species recognition, facilitating conservation efforts. Employed Supervised Machine Learning on Dr. Kristen Gorman's data, covering three penguin species across 'Biscoe,' 'Dream,' and 'Torgersen' islands in the Palmer Archipelago, Antarctica.

Innovatively employed data analysis tools to develop a comprehensive website on hemoglobin genetics and disorders, utilizing various web technologies and demonstrating expertise in data extraction, automation, and decision processes in robotic process automation with UiPath Tool.

"Mobile Shopee" is your ultimate destination for discovering the newest mobile phones. Built using HTML, CSS, and JavaScript, our website offers a smooth and intuitive browsing experience. With a robust backend powered by PHP and MySQL, we ensure secure transactions for your peace of mind.
The research portfolio explores advancements in medical imaging and genetic analysis, leveraging deep learning techniques such as CNNs and transfer learning. These efforts are focused on improving diagnostic accuracy across a range of health conditions. Additionally, innovative developments in bioinformatics tools are underway to comprehensively analyze genetic variations.
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