I'm currently building Navrangam, Navrangam is a vibrant event planning and celebration essentials platform that blends tradition with innovation. It offers personalized event services and a curated selection of products, ensuring a seamless experience. Built with Next.js, React, and Tailwind CSS, it is optimized for speed, SEO, and high performance. Inspired by Sanskrit aesthetics, the platform features an AI-powered event booking assistant, an intuitive online store, and cross-device compatibility.

This project takes a closer look at how sentiment analysis can be applied to X (twitter) data to understand public opinion and emotionsl trends on various topics, by leveraging NLP and ML models, I classified tweets as positive, negative or neutral to reveal insights into how people feel and react in real time.

Participated in the Sustainable Food: Feeding the World Workshop Series 2025, organized by TUM Asia, which explored innovative solutions for global food sustainability. The series featured expert-led sessions on food safety, authentication, and sustainable product development. Gained insights into cutting-edge strategies for ensuring food security and sustainability while addressing industry challenges.

Participated in the BESIDE Project - Blockchain usE caseS In Digital financE, an Erasmus+ EU-funded project. The project focused on the use of blockchain technology in the financial sector, with a particular emphasis on the use of smart contracts and decentralized finance (DeFi), completed comprehensive training on DLT to drive digital innovation in finance and banking sector.

Explored core concepts of AI and Machine learning, inluding history, taxonomy, and essential techniques such as clustering, classification, and dimensionality reduction. Gained skills in data pre-processing, selecting suitable algorithms, and implementing evaluation methods for various problem types, where I studied rule-based and kernel methods, with a focus on fairness and ethical considerations in machine learning. Developed professional and cognitive skills by applying theoretical concepts to real-world datasets, interpreting results, and practicing problem-solving through guided projects.