devkmaan's repositories
TweetMoodTracker
TweetMoodTracker identifies signs of depression in Twitter users through their tweets. Using NLP and privacy-preserving technologies, this repository covers data collection, dataset creation, and model development. It aims to provide insights for mental health support by detecting depressive trends in social media content.
Natural-Language-Query-Agent
A Natural Language Query Agent using LLMs and open-source vector indexing to answer questions over lecture notes and LLM architecture tables. The project includes potential enhancements for follow-up queries, conversational memory, and handling multiple lecture classes.
WatchGuard-CCTV-Anomaly-Detection-System
This projects detect Anomalous Behavior through live CCTV camera feed to alert the police or local authority for faster response time. We are using Spatio Temporal AutoEncoder and more importantly three models from Keras ie; Convolutional 3D, Convolutional 2D LSTM and Convolutional 3D Transpose.
uniconnect
A user-friendly web application aimed at facilitating access to academic resources for university students
mern-blog-app
Blog App with Dashboard using MERN (jwt, redux toolkit)
Banking-App-with-Finance-Management
Built with Next.js, Horizon is a financial SaaS platform that connects to multiple bank accounts, displays transactions in real-time, allows users to transfer money to other platform users, and manages their finances altogether.
Blog-for-the-future
A Complete Fullstack Next JS App that will Automatically generate Blog Post Content with ChatGPT. Next JS is used with the app directory, and Prisma as our ORM, TipTap for our text editing, Typescript for our language.
BeastScan-Image-Processing-for-Animal-Recognition
This web app recognizes animals from their images using machine learning.
GuardianWatch-Real-Time-Weapons-Detection
This project aims to minimize the police response time by detecting weapons through a live CCTV camera feed. So it alerts the police as soon as it detects any sort of weapons. In our project we are focusing on guns primarily.