Akshay Dongare's Projects
This repo is used for hosting my Advanced CPP Test Certificate
Config files for my GitHub profile.
In this project, I implement a neural network from scratch
Automated Test Cases using Selenium on MicroChat (A micro blogging website)
This repo is used to host my AWS Eduskills certificates
Demo of a Ball Trajectory Tracker
College Predictor Website
This repo hosts my CUDA programming certificate
BI mini project
A repo to show how to use Docker for making an isolated, local, development environment for python and running a streamlit app in it
This application is streamlit dashboard that can be used to analyze motor vehicle collision in NYC
RAG pipeline using EMBEDCHAIN
error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
File Integrity Monitor project with GUI
Fingerprint matching app using streamlit for GUI
Neuro-evolution of augmenting topologies
I presented a paper at the Global Conference on Sustainable and Futuristic Technologies 2023 (GConSFT2023) organised by Marathwada Mitra Mandal's College of Engineering Pune on 14 December 2023 in the Computational Technologies track.
HPC Mini Project
Using Tensorflow object detection API to detect custom objects. In this project we detect hand gestures.
A python bot to connect and control your Instagram account with
Self Host your website using HTML and ipv6. Use your laptop as host to display your HTML website to the internet using IPV6 protocol. Each device has a unique IPV6 address (correlated to device's MAC address) which makes it possible to host and share websites over the internet without the need of port forwarding like in ipv4!)
Performed real-time semantic segmentation for lane detection combined with traffic sign recognition on a video stream. Trained Faster R-CNN and Resnet50 on the GTSRB dataset for traffic sign recognition and trained an FCN on custom dataset for lane segmentation
Building a Local Coding Assistant with Code Llama and Cody
This is a general guide about package installation and system setup
Multi-class classification on MNIST Fashion dataset which has 10 classes (fasion items like bag, boot, top etc). It has 28x28 pixel grayscale images.