Skip to content
View sanidhya2803's full-sized avatar
:octocat:
Focusing
:octocat:
Focusing

Block or report sanidhya2803

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. BoT BoT Public

    AI chatbot web app built with FastAPI, Streamlit, and Groq LLM. Supports user auth and conversational AI.

    Python

  2. Streamlit_Dashboard Streamlit_Dashboard Public

    📊 Interactive Data Dashboard A no-code data visualization tool built with Streamlit and Plotly Express. Upload a CSV or Excel file and instantly generate interactive charts — Bar, Histogram, Line, …

    Python

  3. LLM_Chatbot LLM_Chatbot Public

    Basic Chatbot using LLM API - Using Groq API with Llama3.1 as Model

    Python

  4. LLM_NonDeterminism_Experiment LLM_NonDeterminism_Experiment Public

    Demonstrates the non-deterministic behavior of LLMs by sending the same prompt multiple times and comparing the generated responses. Implemented using Python and the Hugging Face Transformers libra…

    Python

  5. Detection_of_Craters_from_Orbiter_High_Resolution_using_AIML_Techniques Detection_of_Craters_from_Orbiter_High_Resolution_using_AIML_Techniques Public

    This project automates lunar crater detection using Faster R-CNN with a ResNet-50 backbone, built from scratch. Trained on COCO-formatted OHRC images, it accurately identifies and localizes craters…

    Python

  6. Skin_Cancer_Detection Skin_Cancer_Detection Public

    This project is a Gradio-based web application for detecting Melanoma skin cancer from lesion images using a trained CNN model in TensorFlow. Users can upload an image, and the app classifies it as…

    Python