My Journey in Pictures
Hello! I'm Imadabathuni Harsha Venkat, an enthusiastic B.Tech student in Artificial Intelligence and Machine Learning.
My passion lies at the intersection of innovative problem-solving and emerging technologies.
I enjoy creating intelligent solutions, whether through ensemble machine learning models, explainable AI, or web development projects.
Throughout my academic and project experience, I've worked on diverse applications like building an AI-powered drone system
for automated tasks, developing predictive models for critical healthcare issues, and creating user-friendly web applications.
I'm driven to make impactful contributions in the tech world and am always keen to learn and grow!
From Quantum Support Vector Classifiers to SHAP model interpretation, I explore cutting-edge technologies.
Creating dynamic web applications like Census Data Dashboards and Car Data APIs using modern stacks.
Working on projects like 'Drone Fish Feeding' and ideathon solutions for waste-to-energy systems.
A classification project using ensemble models to predict passenger fates during a spacetime anomaly. This project achieved an accuracy of 80.68% using VotingClassifier with tuned RandomForest and GradientBoosting models.
An ensemble-quantum machine learning approach utilizing Quantum Support Vector Classifier (QSVC) and SHAP for feature contribution analysis. Compared QSVC with classical models to enhance prediction reliability and interpretability.
An AI-enabled drone system developed using Jetson Nano to automate fish feeding operations. This project highlights how smart technologies can be applied to agriculture and aquaculture for efficiency and precision.
An ideathon project that addresses waste management challenges by converting waste materials into sustainable energy. Focused on environmental impact, energy conversion efficiency, and economic feasibility.
A security enhancement project integrating RF technology and facial recognition to ensure secure ATM transactions. Combines hardware and software components for real-time authentication and fraud prevention.
A web application built to visualize and analyze India's census data. Utilized responsive design principles and APIs to provide users with an interactive and informative experience.
Have a question or want to collaborate? Feel free to reach out!