Venkatesh is based out of Chennai & has studied CE-Computer Engineering, BE BTech-Bachelor of Engineering or Technology from Year 2015-2019 in SRMU-Sri Ramaswamy Memorial University, SRM University.
Venkatesh R is Skilled in Machine Learning, Data Analysis, Python and other talents.
About
From image and video editing in high school to computer vision in college, the world of visual media has always intrigued me. This cultivated in me a deep desire to learn more about artificial intelligence and computer vision. What motivates me is the passion to explore and apply this knowledge to socially impactful causes.
Career Aim
From image and video editing in high school to computer vision in college, the world of visual media has always intrigued me. This cultivated in me a deep desire to learn more about artificial intelligence and computer vision. What motivates me is the passion to explore and apply this knowledge to socially impactful causes.
• Developed a machine learning model for the project 'Employee Appraisal'. • Demonstrated the use of supervised machine learning techniques to predict which employees are worthy of a promotion.
Achievements
• Achieved an accuracy of 85% on a validation set.
Artificial Intelligence Researcher
Next Tech Lab
Full TimeJun-2016 To present8 years 10 months
Responsibilities
• Researching primarily in the field of artificial intelligence and computer vision to apply cutting-edge technology to real-world scenarios. • Working on multiple ongoing research projects.
Achievements
• Contributed to multiple research papers and hackathons as a member of the lab.
• Created a generative adversarial network to generate rangoli images. • Generated images are displayed using augmented reality for making rangolis easily. • Implemented the model using TensorFlow by training it on a dataset of 3615 images.
• Developed a product which aims to make plants self-reliant. • Uses a subtle interplay of Artificial Intelligence, Internet of Things and Blockchains. • Implementation in large scale can reduce the national fertilizer consumption by 7% and save up-to INR6,50,00,000 annually.
• Developed a deep learning model to identify whether the patient is suffering from skin cancer. • Trained the model on Inceptionv3(GoogLenet) using transfer learning techniques. • The model achieved a validation loss of 0.5805 and an F1-score of 80% on a highly unbalanced dataset.
• Developed a Smartcab which utilizes Reinforcement learning techniques to implement a self-driving agent in a simplified world. • Implemented Q-learning algorithm to guide the agent while tackling the environmental constraints. • Dealt with the exploration-exploitation dilemma by finding the correct value for the exploration factor that maximizes the safety of our agent.
• Designed an app which aims to reduce the prevalent problem of self-medication in India where people in rural areas take medicines without knowing about their side-effects. • Combines Augmented Reality and a strong recommendation system to suggest whether a medicine is applicable for the given ailment. • Provides home remedies for people who do not wish to pursue allopathy.
Venkatesh is based out of Chennai & has studied CE-Computer Engineering, BE BTech-Bachelor of Engineering or Technology from Year 2015-2019 in SRMU-Sri Ramaswamy Memorial University, SRM University.
Venkatesh R is Skilled in Machine Learning, Data Analysis, Python and other talents.