Projects

This repo includes the work of exploration and the usage of multi-modal deep learning – combining or concatenating different features or modes of data – like a song(Audio), its lyrics(Text) associated with its metadata (latent feature vectors) – like a key, tempo, genre, artist information, etc. passed in a combined hybrid neural network-based framework for training and eventually being used to generate personalised recommendations based on this hybrid combination of different modes of data and its associated metadata, rather than using individual non-ensembled networks for the training of different attributes individually. Recommendations being generated from the proposed multi modal deep learning framework provides enhanced personalized recommendations by sequentially processing and combining different modes of data.

Our Solution Smart Rural Ecosystem aims to dissolve the unwanted interventions of middle-men in their daily livelihood, which depends on day to day heavy tasks they perform and could not get profit they actually deserve. Using appropriate tech stack and dependencies, we would try to propose an ecosystem, which if adopted, could be result in getting achievements and benefit the people living in rural areas.Project repository for course 18CSC206J - Software Engineering and Project Management [SEPM]

Python based utility package for tracking Machine Learning Model training progress in Real-Time

Conjexure is a machine learning web app for forecasting the stock prices of certain companies into the future. Conjexure utilizes the stock prices for Alphabet Inc. (GOOGL) and Apple Inc. (AAPL) for training. This is primarily because the closing stock price graph for these companies over time is quite smooth overall and avoids any sudden ups or downs and follows a healthy upwards trend.

Focused to develop a smart AI Based digital Platform Using Machine Learning /AI and Web based skills to make a secure web application , which aims to analyze the user’s information,it can be a Faculty or Student. Using Appropriate Tech Stack , this app tries to analyse and solve the problem of online assignment upload, to check plagiarism of the assignments sent by the students, the teacher can check if any student had copied the assignments or not through our ML model, to give a short summary and finding the main key points in the assignment so that it could save time for the teacher and student counselling where student can predict a career or predict dropout rate using our ml model..

Built using Natural Language Processing and Machine Learning,Emergency Ally is a Comprehensive Web App which can help you provide SOS or Emergency Level Solutions , In Case You encounter or see someone in any Danger or Disaster Situtations.

Detailed Comparison of Hybrid Deep Neural Models and Optimizers for Multiclass classification in NLP. Multi-class classification based on textual data refers to a supervised machine learning task, where we try to predict a certain class for input data, given the input data in raw textual format. Well, thanks to TensorFlow, we have a variety of algorithms available to perform multi-class classification via natural language processing. Here , I have tried to perform a detailed analysis and comparison of various hybrid combination of deep neural networks and choosing different optimizer’s impact on their learning and training of model and hence , their performance and time taken to train.

Devising a semi supervised learning approach for determining topic from corpus.