Hi 👋, I'm Kishore Kumar K

A passionate fervent developer from India

🔭 I’m currently working on many things
🌱 I’m currently learning React and cloud
👯 I’m looking to collaborate on all my on-going projects
💬 Ask me anything about AI and data science
📫 How to reach me [email protected]

My Skill Set

Languages :

Front-end and frameworks:

Back-end:

AI/ML :

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Kishore-kumar's Projects

aiapp

A React Native Chatbot App which answer general Queries of the user. Powered by Google's Gemini model, it offers an intuitive interface for real-time, intelligent conversations. #MobileApp #Chatbot

chatapp

It is a simple Chat application made with the help of Gemini API , react js , Vite

crewaibloger

This project implemented in Google Colab. It uses two agents: a researcher for sleep cycle studies and a blogger for creating informative and humorous blog posts.

Navigated Data-a-thon-VIT- challenges with determination. Explored CSVs in Google Colab, implemented ML and DL models in a competitive spirit. Dive into the insightful journey of learning and collaboration. #DataScience #CompetitionExperience

diabetes_predictions

Explore diabetes prediction using Jupyter Notebook. Leverage diverse algorithms on health indicators for insightful risk assessment. #MachineLearning #Healthcare

finetuning-autotrain

This repo fine-tunes the Mistral 7B Sharded model using AutoTrain and QLoRA to create an Customized LLM. It was done with help of PyTorch, Transformers , etc. Contributions welcome! 😊

finetuningwithqlora

This repo fine-tunes the Zephyr 7B Sharded model using QLoRA to create an Customized LLM for Indian Legal problems. It was done with help of PyTorch, Transformers , etc. Contributions welcome! 😊

image_clustering

Discover image patterns using unsupervised learning. Cluster similar images with K-Means and Hierarchical Clustering in Jupyter Notebook. Visualize results and adapt for diverse image analysis tasks.

langagents

LangChain: Empower your Google Colab experience with AI agents! Utilize Language Models, search engines, Python REPL, vector retrieval, and custom tools to automate tasks seamlessly.

live_object_detection

Revolutionize pest detection with YOLOv8 on IP102 dataset. Seamlessly execute on voice command for accessibility. #ComputerVision #AIInnovation

numberclassification

Explore number classification using machine learning with Logistic Regression, SVM, Random Forest, KNN, and MLP. Trained on the MNIST dataset, the Jupyter Notebook offers insights into model performance and comparisons.