AI-driven symptom based medical recommendation chatbot with visual guidance
License Plate Detection and Recognition Model
Timeline
Udayashri Annoju
Hyderabad
Summary
Aspiring Computer Scientist with specialization in Data Science and a strong foundation in software development technologies, algorithms, and data analysis. Dedicated to developing creative solutions to meet business goals and requirements.
Overview
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1
Certification
Work History
Data Analytic Process Automation Intern
Eduskills
04.2024 - 06.2024
Learned essential data analytics skills, including data cleaning, preprocessing, exploratory data analysis (EDA), and data visualization using Alteryx Designer.
Gained experience in building automated analytic workflows and integrating various data sources.
Building Machine Learning with Tensorflow, Infosys
AWS Cloud Practitioner Essentials, AWS
AWS Academy Cloud Operations, AWS
AI-driven symptom based medical recommendation chatbot with visual guidance
Designed MedBot to leverage advanced NLP techniques and machine learning algorithms such as GloVe word embeddings and random forest classifier to analyze user symptoms and recommend suitable medications including pictures.
License Plate Detection and Recognition Model
Developed a License plate detection and recognition model from audio and video feeds with multi language support using python frameworks and deep learning algorithms such as CNN and RNN using Python, Tensorflow, Keras, OpenCV.