
Drone Project
Problem: Manual drone navigation is inefficient and error-prone for surveillance and delivery tasks.
Solution: Built an autonomous drone system using Python, ROS and OpenCV for path detection and obstacle avoidance.
I design scalable full-stack applications ✨ and build robust machine-learning models 🤖. I focus on practical solutions, clean code, and delightful user experiences that solve real problems.
Problem: Manual drone navigation is inefficient and error-prone for surveillance and delivery tasks.
Solution: Built an autonomous drone system using Python, ROS and OpenCV for path detection and obstacle avoidance.
Problem: People need quick, reliable medical guidance outside hospitals.
Solution: Developed an NLP-based chatbot with Flask that answers common healthcare queries and suggests actions.
Problem: Running repetitive manual tests for delivery workflows is slow and brittle.
Solution: Automated end-to-end delivery scenarios using Selenium + Python for reliable testing and demos.
Problem: Distributed teams lack a single lightweight tool for instant collaboration.
Solution: Built a real-time collaboration app using React, Node.js and Socket.io for instant messaging & channels.
Problem: Detecting subtle anomalies in time-series data is difficult with classic methods.
Solution: Implemented an anomaly detection model using Transformer-based architecture in PyTorch to flag irregular patterns.
Email: shashipreetham1804@gmail.com
LinkedIn: linkedin.com/in/shashi-preetham18