To contribute my skills in developing impactful solutions, thriving in dynamic team environments, and supporting organisational success through creativity and dedication.
Technical Skills
Soft Skills
Collaborative, Precise, Proactive, Resourceful, Creative, Self-Initiating, Enthusiastic
SmartGrow Machine Learning for Sustainable Agriculture Innovation Apr 2025
D Vishnu Teja
10.55041/IJSREM44598
SmartGrow: Machine Learning for Sustainable Agriculture Innovation *(Final Project)*
Developed an AI-driven web application to assist farmers with crop planning, disease detection, yield forecasting, and market price prediction The platform promotes sustainable agriculture through advanced machine learning models and an intuitive user interface Contributed to the project by developing a CNN-based plant disease detection model using infected leaf images, and building the frontend login system with React.js Integrated Firebase for secure user authentication and connected the backend for model deployment and real-time predictions.
Role:
Cardiac Disease Prediction
In this project, a predictive model for cardiac disease was developed using ML algorithms, such as Decision Tree, Random Forest, and SVM This project focuses on achieving high accuracy, sensitivity, and specificity in cardiac disease risk, using ML, Python, and HTML, and has developed the frontend page. The data collection for training the model has been completed to provide accurate outputs
To-Do List
Developed a to-do list web application to enter the tasks that users want to perform in their day-to-day lives. You can easily add and delete tasks using HTML, CSS, and JavaScript
Cambridge English B2: Earned the Cambridge English B2 certification, demonstrating strong proficiency in professional communication, writing, and comprehension for workplace and academic settings
1st Place – AI-Driven Project Expo: Developed a voice assistant using AI that responds to user commands and automates tasks such as opening applications, searching online, and giving real-time responses Recognized for innovation and practical implementation in the AI domain.
AI-ML virtual internship (May - July 2023)
It's an AICTE-approved virtual internship program which has been successfully completed, supported by the AWS academy