I am a skilled machine learning professional with extensive experience in deep learning and neural networks. I have worked on a variety of projects, ranging from RNN and CNN models for NLP and image processing/computer vision to sentiment analysis and gender detection.
One of my most notable projects is AI-rrigate, a comprehensive agricultural management framework that leverages AI to improve crop yields and farming practices. This project includes several models, such as a multivariate crop yield forecasting framework, a global agricultural farming statistics compendium, a precision agriculture nutrient management framework, a computer vision-based plant disease diagnosis framework, an agro-ecological crop variety selection model, and an agri-advisor (AI chatbot).
In addition to AI-rrigate, I have also worked on several other AI-based projects, including a sentiment analysis project on Twitter tweets and AI chatbots built with transformer modules such as BERT and DialoGPT. I have also developed a lung cancer detection model.
I am driven by my passion for coding, problem solving, and researching new trends in the ML community. I have over a year of experience in machine learning and am proficient in Flask, with additional experience in Django.
With my diverse portfolio of AI projects and my passion for staying at the forefront of the field, I am confident that I can bring a unique combination of technical skills and creative thinking to any team working on cutting-edge ML Projects