Hi , I'm Visakh , I'm A Second Year CS Undergraduate Student. As Mentioned , I'm a Front-End Web Developer with an overwhelming fascination of Artificial Intelligence and Machine Learning. I Have Always Been Passionate When It Comes to Programming & That Same Passion Helps Me Deliver The Most Exciting Products.
Aesthetically Pleasing Content Is More Than Just Pixelated Information. I Always Aim To Excel While Designing Minimalistic & Aesthetically Pleasing Webpages By Going The Extra Mile To Build The Website Of Your Dreams, So You Won't Have To Break A Sweat 😄
Recently I Have Been Garnering My Skills In Machine Learning Using Python Programming Language And Being Capable Of Interpreting Data , Analysing The Result Using Statistical Methods And Providing Solid Conclusions Based On It.
Designed and created a Covid 19 Help Application along with a collaborator deployed on an Amazon EC2 Instance (Ubuntu Linux Server) in lieu of the pandemic situation that has rendered everyone speechless. The application has been designed with the help of Streamlit and aims to provide a way to check if the user's symptoms are covid-like with our random forest classifier model , access state helpline numbers , check for available vaccination slots in your locality which has been integrated with the COWIN APIs after filtering or even view the current trend of the pandemic in the analytics dashboard designed using tableau and we have also included a way to perform timeseries forecasting on the vaccination rates using the ARIMA Model.
Visit Website 🌐Developed a voice activated facial recognition software using OpenFace (trained network) and dlib libraries, this system makes use of the HOG method to convert pictures to a readable black and white format and it stores a binary encoding of detectable faces (eyes, ears, nose encodings) and by training a deep convolutional neural network – generating 128 measurements for each detected face, the algorithm is able to classify the closeness between the measurements of the stored face and detected face in order accurately perform facial recognition on different faces and distinguishes between them which can be used for recognizing individuals and then logging in the recognized user’s data upon mention of the wake command (using speech recognition) as well as the timestamp at which face was recognized on to a database – this software could be used in colleges for attendance logging in the cloud, which makes it easier for teachers.
See GitHub Code
Developed a virtual assistant named Friday using python & google AI & speech recognition libraries for automation of tasks using voice recognition.
See GitHub Code
Front end development including and not limited to updating, additions and
maintenance for client projects using angular framework and SCSS styling
Use skills in debugging to check code, improve code and enhance the
functionality and user experience of web applications and computer
programs.
Assessed and Enhanced UI | UX designs for Technical Feasibility
Ensuring code integrity, simplifying and improving code logic, and
performing test runs on all ends before pushing to the public.
Performed multiple Exploratory Data Analysis projects, made inferences and
drew up reports.
Along with this, facilitated other co-interns with the evaluation of their work.
Developed and implemented productivity initiatives, in addition to coordinating itinerary and scheduling appointments. Co-ordinated and managed all activities and events conducted by the mechatronics club.
Attended the Goldman Sachs Virtual Training Program on Cyber Security Held During the Month of October 2020.
Encrypted data to secure confidential information of clients and cracking leaked password databases.
Authored reports regarding password hashing algorithm (md5, bcrypt, scrypt & pbkdf2), encrypting passwords, use of salting, improving password strength, credential-checking & validation.
Recommend improvements in security systems and procedures.
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