kashyap dabbiru

At Zenithyuga, I built a Caesar Cipher encryption tool in Python and developed a keylogger for ethical keystroke logging and analysis. I also deployed and monitored Snort IDS and used Wireshark and Scapy for packet sniffing and vulnerability analysis.

At DEZINEE, I built responsive user interfaces with React and Angular, managed a Node.js/Express backend, and integrated REST APIs. I also used MongoDB for structured data management.

For Precision Agriculture Intelligence, I built a crop and fertilizer recommendation engine using Random Forest and ResNet9, with disease prediction models. I deployed it using Flask and used Matplotlib to visualize insights.

I built a Personal Finance Tracker with Flask, FastAPI, HTML, and Supabase that supported 200 transactions per day. Cohere LLM and LangChain enabled expense categorization with 92% accuracy and reduced manual entry by 80%; I also built Friday Voice Assistant with Python, speech recognition, and pyttsx3.