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TiwariShreya05/README.md

Hi, I'm Shreya Tiwari 👋

AI/ML Engineer passionate about building intelligent systems and turning ideas into meaningful, real-world solutions. Exploring the possibilities of AI and continuously learning, experimenting, and building along the way.

🚀 Skills

Languages — Python · JavaScript · C · SQL
ML / DL — TensorFlow · PyTorch · scikit-learn · RAG · Semantic Search
Web & Backend — React · FastAPI · Streamlit · HTML · CSS · JavaScript
Databases & Search — MySQL · Qdrant · BM25 · Hybrid Search
Tools — Git · GitHub · Jupyter · Google Colab · LangChain
APIs & Services — Google Generative AI · Gemini · Groq · OpenWeather API

📂 Featured Projects

Project Description Tech
🏥 Medical RAG Assistant Full-stack healthcare Q&A system with dual-pipeline retrieval, nearby doctor recommendations, and report analysis React · FastAPI · Qdrant · MySQL · Gemini · RAG
🧠 Collaborative Smart Schedule Hub Intelligent scheduling app for team coordination and event management React · Python · Scheduling Algorithms
🩺 Breast Cancer Prediction Neural network classifier for tumor malignancy detection TensorFlow · Keras · scikit-learn
🌿 Plant Disease Detection CNN model using transfer learning (MobileNetV2) to classify plant diseases in real-time Python · CNN · OpenCV · TensorFlow
🥇 Olympic Medal Predictor Predictive model forecasting country medal counts using historical Olympic data Python · scikit-learn · Linear Regression
🎬 Movie Recommendation System Content-based recommender using cosine similarity with Streamlit UI Python · Pandas · scikit-learn · Streamlit
🧙‍♀️ Code Quest Interactive story-based game teaching programming concepts HTML · CSS · JavaScript
📱 Instagram Clone Frontend replica with authentication and feed functionality HTML · CSS · JavaScript
🌦️ Weather App Real-time weather dashboard with OpenWeather API integration HTML · CSS · JavaScript · REST API

💡 Technical Highlights

Medical RAG Assistant:

  • Hybrid retrieval: dense embeddings (Qdrant) + sparse BM25 + cross-encoder reranking
  • Dual-pipeline system: RAG + Page Index tree-based retrieval running in parallel
  • JWT authentication with per-user activity logging and report isolation
  • LLM fallback chain: Gemini 2.5 Flash → Lite → Groq Llama 3.3 70B
  • Real-time physician recommendations using browser geolocation + reverse geocoding
  • Report analysis pipeline: OCR → patient info extraction → streaming TOA reasoning

ML Projects:

  • Plant disease detection: ~90% validation accuracy on 38-class classification
  • Breast cancer detection: 97.4% accuracy neural network classifier

🎓 Education & Certifications

  • B.Tech in AI & ML — Manipal University Jaipur
  • NPTEL Certifications — Advanced Deep Learning, NLP
  • Oracle & Cisco Certifications — Cloud & Networking fundamentals

📫 Connect

Always learning, building, and exploring AI ⭐

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  1. Breast-Cancer Breast-Cancer Public

    Breast Cancer Prediction using Neural Networks with TensorFlow & Keras for binary classification of tumors (malignant vs benign).

    Jupyter Notebook

  2. Code-Quest-The-Wizard-s-Journey Code-Quest-The-Wizard-s-Journey Public

    Code Quest is an interactive, fantasy-themed coding game where players take on the role of a wizard and solve programming challenges to progress through different levels. Each stage is designed to …

    HTML

  3. InstaClone InstaClone Public

    A web application inspired by Instagram that allows users to share posts, interact with content, and experience core social media functionalities.

    CSS

  4. Movie-Recommendation-System Movie-Recommendation-System Public

    A smart Movie Recommendation System that suggests movies to users based on their preferences using Machine Learning techniques. This project focuses on delivering personalized recommendations by an…

    Jupyter Notebook

  5. WheatherApp WheatherApp Public

    A web-based weather app built to provide real-time weather updates using API integration, featuring a dynamic UI and responsive design for both mobile and desktop users.

    JavaScript

  6. olympic-medal-predictor olympic-medal-predictor Public

    A machine learning project that predicts the number of Olympic medals a country's team will win, using Linear Regression trained on historical Olympic data.

    HTML