Ambitious and focused job seeker with a strong desire to acquire new skills and develop leadership abilities. Seeking a challenging position to utilize existing skills and advance my career with a collaborative team that values hard work. Goal-oriented and driven, I aim to secure a role in a dynamic company to build a strong skill set. Ready to embrace new challenges for personal and professional growth. Dedicated to applying expertise in a dynamic and collaborative environment to drive excellence and contribute to the growth and success of an esteemed company.
YouTube spam detection using Java, Basically this project is for detecting spam comments to avoid the false impression to the viewers who is a subscriber for a particular channel and give the viewer exact and precise information about the channel or video. Here in this project we used java programming language in this we’ve made a replica of YouTube app and made it work like the same as YouTube does .we used some keywords (harsh words) in this system so if the viewer had made a bad comment that has matched the keyword which we’ve gave in the system then it will automatically remove it whole by using the algorithm which we have programmed in the system ,so by this we can make the content to a good reach for the viewers. This project we done for about 2 months and got a 2nd place in the college as the realistic project. In this project we have done on the real time aspects .in our batch we had a good grip on the function of it. Am being the vice team lead of our team of 5 members.so this a was about of project of YSD.
PROJECT (2): Used car price prediction using ML, So basically the project is about used car selling regarding it’s condition and it’s specifications. This project is done by using machine learning (ML) and the language we used is python. In this project we’ve done the operations like analysing, booting, specifying. The project we made will help us to know the accurate price of used car which we are buying from the first owner. we will have a interface to fill the details on it, in this interface it has built in slots like name of the car year of purchase, engine number, model number. According to the given info we get the accurate price of the second-hand car that how much it’s worth to pay and we get the exact price of car. In this project we did it with Learning rate is a hyper- parameter that controls how much we are adjusting the weights of our network concerning the loss gradient. The lower the value, the slower we travel along the downward slope. While this might be a good idea (using a low learning rate) in terms of making sure that we do not miss any local minima, it could also mean that we’ll be taking a long time to converge — especially if we get stuck on a plateau region.