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shravya1125/README.md

👋 Hi, I'm Shreya Sati

Computer Science graduate interested in AI/ML, backend development, and practical software applications.

I build projects using Python, FastAPI, Flask, JavaScript, React, and machine-learning frameworks, with a focus on APIs, AI integrations, data-driven applications, and interactive dashboards.

Featured Projects

🏴‍☠️ AI Pirate Assistant

A voice-enabled AI assistant built during the Murf AI 30 Days of Voice Agents Challenge.

  • Speech-to-text using AssemblyAI
  • LLM-based responses using Gemini
  • Text-to-speech using Murf
  • FastAPI backend with WebSockets
  • Weather and news integrations
  • Browser-based voice interaction

🔗 View Repository


🏥 Dynamic Hospital Resource Allocation

A hospital resource-management application combining machine-learning-based patient risk prediction with rule-based resource allocation.

  • Decision Tree-based patient risk classification
  • Flask REST APIs
  • Emergency-priority handling
  • Resource allocation logic
  • Interactive Chart.js dashboard

🔗 View Repository


⚡ Energy Demand Forecasting

An hourly electricity-demand forecasting project using historical AEP data.

  • Random Forest forecasting
  • LSTM-based forecasting
  • Data preprocessing and feature preparation
  • RMSE and MAPE evaluation
  • Streamlit interface for predictions and visualization

🔗 View Repository


🌱 Plant Disease Detection

A computer-vision project for detecting plant diseases from leaf images using convolutional neural networks.

  • Image preprocessing
  • CNN-based classification
  • TensorFlow / Keras
  • OpenCV
  • Model evaluation

🔗 View Repository


💬 Comment Toxicity Detection

An NLP project for classifying toxic comments using deep-learning-based text classification.

  • Text preprocessing
  • LSTM / BERT-based approaches
  • TensorFlow
  • Gradio interface
  • NLP experimentation

🔗 View Repository


🛠️ Technical Skills

Languages:
Python · C++ · JavaScript · SQL · C

Backend & APIs:
FastAPI · Flask · REST APIs

Frontend:
React.js · JavaScript · HTML · CSS

AI / Machine Learning:
TensorFlow · Keras · Scikit-learn · OpenCV · Pandas · NumPy

Tools & Deployment:
Git · GitHub · Docker · Streamlit · Render

Core CS:
Data Structures & Algorithms · OOP · DBMS · Operating Systems · Computer Networks


📌 Areas of Interest

  • Artificial Intelligence & Machine Learning
  • Backend Development
  • REST API Development
  • AI-powered Applications
  • Data-driven Applications
  • Web Development
  • Data Structures & Algorithms

📫 Connect With Me

Pinned Loading

  1. AI-Pirate-Assistant AI-Pirate-Assistant Public

    Voice-first AI assistant with real-time speech input, LLM conversation, and natural TTS playback

    Python

  2. Dynamic-Hospital-Resource-Allocation Dynamic-Hospital-Resource-Allocation Public

    A Dynamic Resource Allocation Framework for Hospital Management Using Risk-Aware Scheduling

    HTML

  3. Energy-Demand-Forecasting Energy-Demand-Forecasting Public

    Jupyter Notebook

  4. Comment-Toxicity Comment-Toxicity Public

    Comment toxicity Detection Using Machine Learning

    Jupyter Notebook

  5. Plant-Disease-Detection Plant-Disease-Detection Public

    Plant disease detection Using Deep Learning

    Jupyter Notebook