In this project, developed an intelligent application that routes user prompts to appropriate specialized LLMs. The implemented functionalities are sentiment analysis, translation, summarization and text generation. View the code here
Development Engineering Project under the guidance of Prof. Murala
The project aimed at developing a Deep Learning Model using MobileNetV1 architecture for disease detection in potato & corn crops based on leaf images. I made use of transfer learning to achieve high accuracy. Further, hosted the model on Google Cloud Platform (GCP) and integrated it into a mobile application using Flutter. View the code here
Course Project for the Course EE 673 (Machine Learning), Spring '23, IIT Ropar
In this project, I generated colored images from grayscale images using Generative Adversarial Networks (GANs). The U-Net architecture was used for the Generator, while the Discriminator was implemented as a convolutional-based classifier. View the code here
Designed and constructed a Django-based website for the college’s Career Development and Placement Cell (CDPC) competition. In this website, implemented features such as Institute ID-based authentication, multi-level user roles, and advanced filtering. View the code here
Implemented the PageRank algorithm in C++ for ranking web pages. This included utilizing both the random surfer model and a recursive approach. For efficient graph representation, I used an Adjacency List. View the code here