Vamsidhar Kancherla

An aspiring software engineer, interested in logics, high performance computing, web development, data analysis, cryptocurrencies and stocks. An innovative thinker, initiative taker.

Creativity

I put all my creative effort into finding a solution.

Adaptability

I'm able to adjust to new situations and challenges quickly and effectively.

Persistence

No matter what difficulties, challenges I faced even though delay in the project I won't give up/set back until my desired Output comes

STOCK MARKET PRICE PREDICTION :

Predicting stock market prices is a complex task that traditionally involves extensive human computer interaction. Due to the correlated nature of stock prices, conventional batch processing methods cannot be utilized efficiently for stock market analysis. We propose an online learning algorithm that utilizes a kind of recurrent neural network (RNN) called Long Short-Term Memory (LSTM), where the weights are adjusted for individual data points using stochastic gradient descent. This will provide more accurate results when compared to existing stock price prediction algorithms. The network is trained and evaluated for accuracy with various sizes of data, and the results are tabulated.




Biometric And Password Authenticated Secure Android Notes :

This application uses the fingerprint technology for authentication in which capacitive fingerprint scanners generate an image of the ridges and valleys that make up a fingerprint. But instead of sensing the print using light, the capacitors use electrical current. The sensor is made up of one or more semiconductor chips containing an array of tiny cells and that helps in the security of the data stored in these apps




Detecting phishing websites using machine learning :

Our primary aim is to check the websites and to verify using machine learning whether it is safe and advisable to use by the netizens or it contains the malicious software that steals the details of the users through the particular phishing website.