Skip to content
View Mahadasghar's full-sized avatar

Block or report Mahadasghar

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 supported. This note will be visible to only you.
Report abuse

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

Report abuse

Pinned Loading

  1. Emotion_classifier Emotion_classifier Public

    Machine learning solution for emotional fluctuations classification from Tech Fest AI Hackathon. Achieved 0.97 accuracy using a Random Forest pipeline with scikit-learn.

    Jupyter Notebook 1

  2. Huggingface_deploy Huggingface_deploy Public

    Deploy Hugging Face’s text summarization models with a streamlined Python application. This project uses Gradio to provide an intuitive web interface for generating summaries from input text, makin…

    Makefile 1

  3. stock-predictor stock-predictor Public

    Predict stock prices using Linear Regression and LSTM models. Includes data preprocessing, visualization, and benchmarking tools for analyzing historical stock data.

    Jupyter Notebook 1

  4. Chatbot Chatbot Public

    A sophisticated web intelligence platform that fuses a RAG-powered LLM chatbot with on-demand web scraping.

    Python

  5. Amazon-food-sentiment-analyzer Amazon-food-sentiment-analyzer Public

    Fine-tuned RoBERTa transformer for Amazon food review sentiment analysis with 83% accuracy. Interactive Streamlit web app with VADER baseline comparison and ensemble predictions.

    Jupyter Notebook 1

  6. CXR-Diagnosis-InceptionV3 CXR-Diagnosis-InceptionV3 Public

    Deep learning model for Chest X-Ray (CXR) binary classification using InceptionV3. Features optimal threshold selection (0.45) for maximizing clinical Sensitivity and minimizing False Negatives. In…

    Jupyter Notebook 1