┌─────────────────────────────────────────────────────────────────┐
│  NAME      →  Mehvish Sheikh                                    │
│  ROLE      →  B.Tech CSE (Data Science) · 3rd Year             │
│  COLLEGE   →  Indore Institute of Science & Technology         │
│  GRAD      →  2027                                              │
│  LOCATION  →  Indore, India 🇮🇳                                 │
│  EMAIL     →  mehvishsheikh.3101@gmail.com                      │
├─────────────────────────────────────────────────────────────────┤
│  FOCUS     →  ML · NLP · GenAI · Agentic AI                    │
│  BUILDING  →  FastAPI · Docker · LangChain · Groq API          │
│  GOAL      →  Production-ready AI solutions that matter        │
└─────────────────────────────────────────────────────────────────┘

drwxr-xr-x  projects/
│
├── 🧠  stroke-prediction/
│       ├── type         →  End-to-End Production ML System
│       ├── problem      →  Class imbalance (5% stroke cases) — maximize recall
│       ├── model        →  XGBoost + Optuna (80% recall) + SMOTE
│       ├── api          →  FastAPI + Pydantic validation
│       ├── dashboard    →  Streamlit (4 tabs: Predict, EDA, Compare, SHAP)
│       ├── explain      →  SHAP beeswarm + importance plots
│       ├── deployed     →  strokepredictionsmodel.streamlit.app ✅
│       └── stack        →  Python · XGBoost · FastAPI · Streamlit · Docker · SHAP
│
├── ❤️   heart-disease-prediction/
│       ├── type         →  Binary Classification · Clinical ML
│       ├── model        →  Logistic Regression
│       ├── accuracy     →  91.67%
│       ├── focus        →  Interpretable baseline model for cardiac risk
│       └── stack        →  Python · Scikit-learn · Pandas · Matplotlib
│
├── 🤖  smart-companion-fastapi/
│       ├── type         →  AI Career Counseling Platform (v2 — FastAPI rebuild)
│       ├── feature      →  Chatbot + Course Recommender + User Auth
│       ├── upgrade      →  Migrated Flask → FastAPI for async performance
│       ├── db           →  SQLite (persistent sessions)
│       └── stack        →  Python · FastAPI · Groq API · HTML · CSS · SQLite
│
├── 🏠  hostel-mate/
│       ├── type         →  Grievance Management System
│       ├── users        →  Students & Admin dual portal
│       ├── features     →  Complaint tracking · Admin dashboard · Auth
│       └── stack        →  Django · PostgreSQL · Bootstrap
│
├── 🎌  ani-mind/
│       ├── type         →  Anime Recommender System
│       ├── deployed     →  Streamlit Cloud ✅
│       ├── features     →  NLP-based content filtering · interactive UI
│       └── stack        →  Streamlit · Python · NLP · Pandas
│
└── 🍴  indore-food-intelligence/
        ├── type         →  Geospatial AI Agent
        ├── tagline      →  "Craving dahi wada at midnight? I know where to go."
        ├── feature      →  Natural language → ranked vendor matches
        ├── scoring      →  Proximity · mood · budget · time · rating
        ├── llm          →  Groq LLaMA 3.1 — AI narrative recommendations
        ├── map          →  Folium live map + GPS auto-detect
        ├── data         →  20 vendors across 8 iconic Indore food zones
        └── stack        →  Python · Streamlit · Groq API · Folium · LLaMA 3.1

[LANGUAGES]           ████████████████████  Python · C · C++ · HTML · CSS · JS
[ML / DS]             ████████████████░░░░  NumPy · Pandas · Scikit-learn · XGBoost · SHAP
[IMBALANCE & TUNING]  █████████████░░░░░░░  SMOTE · Optuna · Threshold Tuning · Recall Optimization
[FRAMEWORKS]          ███████████████░░░░░  FastAPI · Flask · Django · Streamlit · Docker
[LLM / GENAI]         ████████████░░░░░░░░  Groq API · LLaMA 3.1 · Prompt Engineering
[DATABASES]           ██████████████░░░░░░  PostgreSQL · MySQL · SQLite
[CLOUD / DEPLOY]      ████████░░░░░░░░░░░░  Render · Streamlit Cloud · Docker · AWS EC2
[BI TOOLS]            ███████████░░░░░░░░░  Power BI · Tableau
[DEV TOOLS]           █████████████████░░░  Git · GitHub · VS Code · Linux · Optuna
[CURRENTLY LEARNING]  ░░░░░░░░░░░░░░░░░░░░  LangChain · LangGraph · CrewAI · HuggingFace

---

```bash
mehvish@portfolio:~$ python stats.py --user mehvishsheikh31