Basani Sravani

I've built end-to-end machine learning projects for agriculture and computer vision, including crop yield prediction models that achieved 97.77% accuracy and a real-time facial recognition system with 99% detection accuracy.

My crop yield prediction research integrated meteorological, soil, and historical yield data using CNNs, LSTMs, Decision Trees, Random Forests, and Gradient Boosting Machines. The work was published at ICITEEB 2025, a SCOPUS-indexed international conference.

Through the AWS Cloud Virtual Internship with EduSkills, AWS Academy, and NEAT-AICTE, I gained hands-on experience deploying and managing cloud infrastructure with EC2, S3, and IAM. I also supported deployment automation, cloud resource optimization, and secure access-control practices.

I'm an aspiring IT professional who applies Python, data analytics, machine learning, deep learning, and AWS to real-world business problems.