A web application where all small enterprises and medium enterprises register and upload all the product details and make them available to the customers. Our project will also provide analysis and analytics of the products and management of capital of the enterprise.

Developed a Python-based E-commerce Price and Sentiment Track project, leveraging web mining techniques and NLP for price tracking, sentiment analysis, and seamless integration with a Chrome extension.

• Developed the backend infrastructure for a Retrieval-Augmented Generation (RAG) chatbot utilized in an algorithm recommendation system. Spearheaded the integration of machine learning models, optimized data retrieval processes, and ensured robust API performance to deliver accurate and efficient recommendations to users.

• Conducted comprehensive analysis on 5 years' worth of a trader's fill data, employing advanced statistical techniques and predictive modeling to accurately forecast future trends, facilitating proactive inventory management strategies.

• Leveraged R and Tableau for in-depth statistical analysis and data visualization, revealing actionable insights that shaped the trader's strategy.

Worked under Dr. Senthil Prakash and Dr. Sudharson S on Effective Cataract Identification System using Deep Convolution Neural Network. Our proposed method's performance is compared with benchmarking ResNet50 and VCG19 deep learning models and gives the accuracy of 96.20%. In contrast, the benchmarking model ResNet50 has given 95% accuracy, and the VGG19 model has given 92.50% accuracy.

Focusing on potential avenues to improve CLAVIN-NERD, a named entity recognition (NER) tool tailored
for security intelligence. Analyzed the challenges of scraping public data sources, generating actionable
insights, and exploring alternative NER methods. The primary goal is to optimize CLAVIN-NERD’s performance and deliver accurate location intelligence for security-related tasks.

Worked on phishing websites by analyzing their features and characteristics. Through this research, I gained experience in data analysis, machine learning, and cybersecurity.

Organised a 24 hours hackathon on environment , organised a ctf and many more workshops and gained the experience of leadership

DAO community VITC - VIT's first blockchain/DAO-based community!!

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