Algance
This project makes trading simple and rapid for all sides. It is difficult to understand charts and technical analysis and so this algorithm will issue automated buy and sell signals. Investing is indeed tough and the right age to start investing is in the early ’20s but most college students do not have an idea about investing. Algance will provide them with a platform and guide them accordingly by tracking their finances.
Smart Hearing Glass
Hearing and speech impairments can greatly impact an individual's ability to communicate with others, leading to social isolation and difficulty in performing daily tasks. Traditional hearing aids and sign language interpreters are not always available or practical solutions. This proposal aims to address this issue by designing a hearing aid spectacle that is portable, affordable and convenient to use.
Correct Posture
The posture of humans has altered significantly over time as a result of the excessive use of technological devices. an unsuitable stance. Back discomfort, spinal degeneration, joint degeneration, rounded shoulders, and many other issues have resulted from these bad postures. This project educates individuals who use technology about their current posture, analyzes it, and asks them to take all necessary precautions to protect themselves from any physical problems.
Digital Image Processing
Developing artificial intelligence responsibly to benefit people and society is necessary. The image processing that is used nowadays is majorly based on the concepts of Fourier transformation. Using certain libraries of Python we have created an application that helps us visualize exactly how image processing works by producing images of real-life objects. Python is the major programming language used. Django has been used for deployment while OpenCV has been used for image processing.
Hostel Manager
It is a hassle to allot the rooms manually which creates quite a ruckus for everyone including authorities and students. Our project solves this issue by managing the allotment of rooms which is a stressful task due to the large number of students. It will vanish the old long queues. The allotment of rooms will be based on cgpa scored. We have used android studio for the application building and the database for storing data regarding the hostel.
LIBRARY DUES
It is a well-accepted fact that our Library is pretty advanced yet we have to stand in long queues to clear our dues. As we have our registrations at the same time it takes too long to cater to all the students together. This project has designed a portal for our Library which will save time for all students and will add up to the enhancement of the technological advances of our library. In this portal, we can deposit our existing library dues online instead of standing in long queues and wasting many hours.
Generate new music
Generating music is formulated as a next-note prediction problem that involves using Recurrent Neural Networks.. In this project, we have used Music21 and Keras to build the LSTM model for generating music. We have also created model architecture, checkpoints, and loss functions and learnt to predict notes using random input. The main goal has been to use MIDI files to train neural networks, extract output from the model, and convert them into MP3 music file.
Tracing Cyber Criminals
Cybercrime is on the rise and cybercriminals are using various techniques to hide their digital footprint and evade detection. One common technique is to access the target computer through a proxy server or a VPN server, which acts as a layer between them and the target computer. This project builds a solution that can determine if an IP address is a proxy or VPN IP address and trace the actual IP address behind it.
Water Quality Analysis
Water quality is an important aspect that affects human health and the environment. Traditional methods of water quality analysis are time-consuming and require specialized equipment and so this project develops a machine-learning algorithm that can determine water quality based on images as it has been trained on a dataset of labeled images of water samples, along with corresponding water quality information such as pH, turbidity, and dissolved oxygen levels.