import streamlit as st
from annotated_text import annotated_text

# Header
st.title("Gourav Gujariya's Portfolio")
# st.markdown(" 👋 Hello, I'm GOURAV GUJARIYA, and I'm more than just a name. I'm a passionate data science enthusiast with a burning desire to create real-life impact through innovation. 🚀")
# st.markdown("🤖 With a solid foundation in machine learning (ML) and deep learning (DL), I thrive on challenges that push the boundaries of what's possible. My accolades include being recognized as a Kaggle Dataset EXPERT and Notebook EXPERT, a testament to my data analysis prowess. 📊💡")
# st.markdown("🌐 I'm not just limited to personal accomplishments; I've actively contributed to the world of open-source models and research papers, always striving to stay at the forefront of technological advancements. 📝🔬")
# st.markdown("💥 If you're looking for a dedicated and forward-thinking team player who can turn data into insights and drive real change, I'm your candidate. Let's innovate together and make a difference! 💪🌟📈")

annotated_text(
    " 👋 Hello, I'm ",
    ("GOURAV GUJARIYA", "Nice person"),
    ", and I'm more than just a name. I'm a passionate ","data science enthusiast",
    " with a burning desire to create real-life impact through",(" innovation."," 🚀"),
    " With a ",
    "solid foundation ",
    "in machine learning (ML) and deep learning (DL),",
    " I thrive on challenges that push the ",
    "boundaries ",
    "of what's possible. My accolades include being recognized as a Kaggle ",("Dataset EXPERT"," Badge 📌")," and",(" Notebook EXPERT"," Badge 👩‍💻"),
    "a testament to my data analysis prowess. 📊",
    "🌐 I'm not just limited to personal accomplishments; I've actively contributed to the ",
    ("world","🌎")," of open-source models and ",("research papers","in progress 🖋"),
    ", always striving to stay at the forefront of technological advancements. 📝🔬",
    "💥 If you're looking for a ",("dedicated","Adj")," and forward-thinking team player who can turn data into insights and drive real change",
    ", I'm your candidate. Let's innovate together and make a difference! 💪🌟📈"
)

# Contact Information
st.sidebar.header("Contact Information")
st.sidebar.markdown("Email: er.gouravgujariya@gmail.com")
st.sidebar.markdown("Phone: 9460468011")
st.sidebar.markdown("[LinkedIn](https://www.linkedin.com/in/gourav-gujariya)")
st.sidebar.markdown("[GitHub](https://github.com/gouravgujariya)")

# Links to Projects
st.sidebar.header("Projects")
project_links = {
    "Text Analysis": "https://huggingface.co/spaces/gouravgujariya/Text_analysis",
    "Scan Threat Detection": "https://huggingface.co/spaces/gouravgujariya/Scan_Threat_detection",
    "Web to JSON": "https://huggingface.co/spaces/gouravgujariya/Web_to_json"
}

for project_name, link in project_links.items():
    st.sidebar.markdown(f"[{project_name}]({link})")
import streamlit as st

# Create an expandable section for Education
with st.expander("Education"):
    st.subheader("Dr. B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India")
    st.write("BTech in Computer Science and Engineering")
    st.write("CGPA: 7.32")
    st.write("Year of Graduation: 2024")

# Create an expandable section for Experience
with st.expander("Experience"):
    st.subheader("Microlent Systems Pvt Ltd, Rajasthan, India (05/2023-06/2023)")
    st.write("PYTHON DEVELOPER (INTERN)")
    st.markdown("- Developed an NLP-based pipeline using Python, collaborating with a team to filter text and generate 3D objects.")
    st.markdown("- Utilized shape-based testing to improve efficiency and gained valuable experience in natural language processing and 3D object generation.")
    st.markdown("- Conducted extensive testing and model selection within the pipeline, resulting in significant time savings.")
    st.markdown("- This experience allowed for hands-on learning alongside industry professionals, enhancing Python and machine learning skills.")
    st.markdown("- Assembled and programmed a Python-based solution for 3D object generation. Solved complex challenges in text-to-3D conversion, showcasing expertise in NLP and contributing to streamlined processes.")

# Create an expandable section for Personal Projects
with st.expander("Personal Projects"):
    st.subheader("Cloud Detection System (05/2023-06/2023)")
    st.markdown("- Designed and engineered a cutting-edge Cloud Detection System achieving an exceptional 99% accuracy rate.")
    st.markdown("- Reduced dataset noise effectively through the implementation of OpenCV image enhancement techniques.")
    st.markdown("- Efficiently annotated datasets using Roboflow techniques, streamlining data processing.")
    st.markdown("- Led valuable contributions to atmospheric science by analyzing cloud characteristics, enhancing understanding in scattering, absorption, and infrared radiation.")
    st.markdown("- Developed a scalable and reliable Cloud Detection System that monitors hundreds of thousands of images per day.")

    st.subheader("Runtime Prediction Model (05/2022-12/2022)")
    st.markdown("- Designed and engineered a predictive model for algorithm time complexity analysis, leveraging skills in machine learning.")
    st.markdown("- Developed, trained, and fine-tuned 9 machine learning models, achieving a remarkable accuracy score of 74.64%.")
    st.markdown("- Evaluated 7 ensemble algorithms and 3 baseline models, resulting in a 15% accuracy improvement.")
    st.markdown("- Implemented solutions for efficient algorithm optimization, providing valuable insights to enhance processes.")

# Achievements
st.header("Achievements")
st.markdown("Kaggle: Dataset EXPERT and Notebook EXPERT")
st.markdown("COMMUNITY: Google Dev Student Club active member")

# Create a column layout for Technical Skills
st.header("Technical Skills")

# Define the layout with two columns
col1, col2 = st.columns(2)

# Column 1
with col1:
    st.subheader("Languages")
    st.write("Python, C++")

    st.subheader("Tools")
    st.write("Machine learning, Deep learning, Natural language processing, Computer vision, Tensorflow")

# Column 2
with col2:
    st.subheader("Technologies/Frameworks")
    st.write("Streamlit, Keras, OpenCV, NLTK, YOLO")

    st.subheader("Basic")
    st.write("Object-oriented programming, RDBMS (SQL), Operating Systems")
# Add a footer or any other additional content if needed


if st.button(" feeling lucky"):
    st.balloons()