Nalin Rajendran's Projects
A function F(x) is plotted and the roots of the function and Minima is calculated.
Communicable disease prediction using Deep Learning and Machine Learning Algorithms.
This is a simple scenario based application for string matching and cryptography in the case of a publisher, subscriber model. This demonstrates the communication between a publisher and a subscriber model using two different modes of encryption and decryption(Caesar Cipher, Bit-Flipping).
Streamlit Dengue Forecast using Deep Learning (RNN)
This is a Django based contact form, which has a simple form which is connected to a SQL-Lite database and has features to be added . It has an admin Interface to view the entires in the DB. Now, we can update the message board through the admin panel. NOTE: Not a production grade!
This is a LLM model, where it is tuned to help the farmers for clarifying their doubts about organic farming, with personalised suggestions.
A simple Linear Regression model to predict the the values of the houses in difference locations using the location information.
We are analyzing the forward and inverse kinematics of KUKA KR3 . We are calculating the forward kinematics using the transformation matrix and inverse kinematics using the decoupling Method based and also performing trajectory planningimage About No description, website, or topics provided. Topics Resources Readme Stars 0 stars Watchers 1 wa
Large Language Model Projects
Markov chain based poem generator and deployed using HTML CSS
A chatbot š¤ which remembers š§ using š¦ LangChain š OpenAI | Streamlit | DataButton
Performance analysis of various GMNER Models.
Repository for the NaLLM project
A Web Interface for chatting with your local LLMs via the ollama API
This is a light weight Ollama chat interface built with Streamlit, with conversational history.
My PortFolio !!
This Is a Q Learning model, which predicts the structure of the given protein Input.
A fun dice game, which is between two players.
Basic Rehab Doc Chat
Remote sensing image scene classification, which aims to classify remote sensing image into different types based on image content, has been attracted more and more attentions for its comprehensive application in fields of geography, ecology, city plan, forest monitor, military, etc where we include different approaches using KNN,CNN AND SVM
A LSTM model to predict the closing prices of the desired stocks.