Academic Final Exam project where a grid environment with walls is given, where the exact location of drone has to be found without any prior information about the drone location.
Areas Explored: AI Agents, Probabilistic Modelling, Python, Pandas, Numpy, Djikstra Search, BFS, Randomized Prim's Algorithm.
App made to ask questions about any uploaded image. It works on the Vision-and-Language Transformer (ViLT) which has been fine tuned on VQAv2 available on Hugging Face. Available in a dockerized env as well.
Areas Explored: Vision Transformer(ViLT), FastAPI, REST API, Swagger, Docker
Academic project where Deep Neural Network which is invariant to Time Scaling has been explored.
Areas Explored: Time-Series Data, SITHCON Network, PyTorch
Academic project where the stock price prediction webapp uses LSTM Model trained on historical time series data and makes realtime predictions.
Areas Explored: Time-Series data, LSTM Network, Keras, d3.js, Django
Academic Project where Image Classification has been explored using CNN based techniques and Tranformer Models.
Areas Explored: CNN Models(ResNet50, VGG16, DenseNet121, VGG19, ResNet152), Transformer Models(ViT, CvT, BEiT, SWIN Transformer), PyTorch
A complete implementation of a CI-CD pipeline. Everytime a push happens to the repository a new build is triggered via GitHub Actions.
Areas Explored: Terraform, AWS(EC2, ECR, S3), FastAPI, GitHub Workflows
Academic Project for Database Management Systems, which lets the user place a bid on inventory items, lets the user place automatic bids upto a user defined upper limit and buy the items in database.
Areas Explored: MySQL, ER Diagrams, JAVA, Servlets, JSP, SQL
Academic project for implementation of gradient descent techniques
Areas Explored: Vanilla Gradient Descent, Gradient Descent with optimal Alpha / Step - size, Momentum Gradient Descent, Momentum Gradient Descent with optimum alpha and beta, Orthogonal Gradient Descent, Python, Pandas, Numpy
Academic project to build a probabilistic model of an environment in the presence of uncertainty, and use it to inform and direct decision making.
Areas Explored: Graphs, Probabilistic Modelling, AI Agents, Djikstra Algorithm, BFS, DFS, Python, Pandas, Numpy
Academic project where decisions are made based on utility functions in MDP setting and Neural Networks are constructed to predict utilities.
Areas Explored: Graphs, Probabilistic Modelling, AI Agents, MDP(Utility Function), Neural Networks Djikstra Algorithm, BFS, DFS
Academic project where there are moving ghosts chasing agents in a probabilistic environment and agent has to navigate to goal to win.
Areas Explored: Grids, Probabilistic Modelling, AI Agents, BFS, DFS, Djikstra