DCIM Projects

Capstone Project (Infographic)

https://www.canva.com/design/DAGcSiQwpfE/Y6pthGIwEKPKOXdk1gvRbg/edit?utm_content=DAGcSiQwpfE&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton

Final paper (Strategic Presentation)

file:///Users/santhosh/Downloads/Strategic%20Presentation%20Final%20Paper%20(1).pdf

Presentation (file:///Users/santhosh/Downloads/Social%20Media's%20Impact%20on%20Humans%20(4)%20(1).pdf)

Final Paper

(file:///Users/santhosh/Downloads/Social%20Media's%20Impact%20on%20Humans%20(2)%20(9).pdf)

- link is able to view, you could copy it and view my projects that I have done from my past DCIM couses

In Terms of Computer science personal projects

Big Red Hacks (Cornell University) 

● Built a comprehensive interview preparation application that parses resumes and generates role-specific questions using React, Node.js, and MongoDB. 

● Implemented TensorFlow and OpenCV for facial recognition, giving users immediate feedback on their body language and facial expressions. 

● Created RESTful APIs and enhanced backend functionality for a smooth user experience and effective data management 

Next Jump Hackathon 

● Built an Artificial Intelligence to analyze motion movements throughout the day

 ● Utilized sensors to collect motion data and capture physical movements such walking, running, sitting

 ● provide actionable information on patterns of physical activity and health 

Predicting Football Matches with Machine Learning 

● Developed a Python based system to predict winners of football with data scraped from a random 5000 matches 

● Implemented learning algorithms including logistic regression to train the predictive model from the overall data set 

Multi-Cloud Infrastructure Deployment with Terraform 

● Integrated Jenkins and Terraform to automate infrastructure changes, allowing cloud resources to be deployed 

● Automated resources across AWS and Google Cloud through automated infrastructure provisioning with Terraform 

● Developed a Jenkins pipeline to automate cloud infrastructure provisioning and decrease manual intervention 

Sign Language Detector

● Developed a machine learning-based sign language detector using computer vision techniques to adapt hand gestures and translate them into speech or text 

● Enhanced accessibility by providing a tool to communicate efficiently for individuals with hearing impairments 

● Implemented the model into an application of capturing and translating sign language through software