Spaces:
Sleeping
Sleeping
Suchith-nj
commited on
Commit
Β·
f3e8c35
1
Parent(s):
496820c
test
Browse files
app.py
CHANGED
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@@ -1,313 +1,319 @@
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import streamlit as st
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from datetime import datetime
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# Page config
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st.set_page_config(
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page_title="Suchith Natraj Javali - AI Portfolio",
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page_icon="π€",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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# Custom CSS
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st.markdown("""
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<style>
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.main {padding: 2rem;}
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h1 {color: #FF9D00;}
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.highlight-box {
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padding: 2rem;
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background: linear-gradient(135deg, #FF9D00 0%, #FFD21E 100%);
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color: #1F1F1F;
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border-radius: 10px;
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margin: 1rem 0;
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box-shadow: 0 4px 6px rgba(0,0,0,0.1);
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}
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.metric-card {
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background: #f0f2f6;
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padding: 1.5rem;
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border-radius: 10px;
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text-align: center;
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}
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</style>
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""", unsafe_allow_html=True)
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col1, col2 = st.columns([3, 1])
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with col1:
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st.title("Suchith Natraj Javali - AI Portfolio")
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st.markdown("### Production-Ready AI/ML Services")
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with col2:
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st.markdown("[](https://huggingface.co/suchithnj12)")
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st.markdown("[](https://github.com/Suchith-nj)")
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# Hero section
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st.markdown("""
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<div class="highlight-box">
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<h2 style="color: #1F1F1F; margin: 0;">Welcome to My AI Portfolio</h2>
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<p style="color: #1F1F1F; opacity: 0.9; margin-top: 0.5rem; font-size: 1.1rem;">
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Explore my collection of <strong>production-ready AI/ML services</strong> built with
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PyTorch, HuggingFace Transformers, LangChain, and modern frameworks.
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Each service demonstrates end-to-end ML engineering capabilities.
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</p>
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<p style="color: #1F1F1F; opacity: 0.8; margin-top: 0.5rem;">
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π‘ <strong>16GB RAM</strong> | 2 vCPU | Hosted on HuggingFace Spaces
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</p>
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</div>
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""", unsafe_allow_html=True)
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st.write("")
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# Metrics row
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col1, col2, col3, col4 = st.columns(4)
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with col1:
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st.markdown('<div class="metric-card">', unsafe_allow_html=True)
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st.metric(label="Total Services", value="10+", delta="Growing")
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st.markdown('</div>', unsafe_allow_html=True)
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with col2:
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st.markdown('<div class="metric-card">', unsafe_allow_html=True)
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st.metric(label="Primary Stack", value="Python", delta="PyTorch & LangChain")
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st.markdown('</div>', unsafe_allow_html=True)
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with col3:
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st.markdown('<div class="metric-card">', unsafe_allow_html=True)
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st.metric(label="Platform", value="HuggingFace", delta="16GB RAM")
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st.markdown('</div>', unsafe_allow_html=True)
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with col4:
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st.markdown('<div class="metric-card">', unsafe_allow_html=True)
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st.metric(label="Status", value="Active", delta="Week 0")
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st.markdown('</div>', unsafe_allow_html=True)
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st.write("")
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# About section
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# st.header("π¨βπ» About This Portfolio")
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# col1, col2 = st.columns([2, 1])
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# with col1:
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# st.
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#
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#
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# - **Train & Fine-tune Models**: Deep learning with PyTorch, transfer learning
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# - **Deploy to Production**: FastAPI, Docker, AWS, scalable architectures
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# - **Full-Stack AI Apps**: End-to-end applications with modern frameworks
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# - **MLOps Practices**: Experiment tracking, monitoring, CI/CD pipelines
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# - **Multi-Agent Systems**: Coordinated AI agents with LangChain & AutoGen
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# - **LLM Applications**: RAG pipelines, prompt engineering, agent frameworks
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# """)
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# with col2:
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#
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#
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# st.write("")
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#
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st.
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st.markdown("
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#
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"features": ["Image captioning", "Visual Q&A", "Object detection"]
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},
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]
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with col1:
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for service in services_left:
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with st.expander(f"{service['icon']} {service['name']}", expanded=False):
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st.markdown(f"**Status**: {service['status']}")
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st.write(service['desc'])
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st.code(service['tech'], language=None)
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st.markdown("**Key Features:**")
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for feature in service['features']:
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st.markdown(f"β’ {feature}")
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with col2:
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for service in services_right:
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with st.expander(f"{service['icon']} {service['name']}", expanded=False):
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st.markdown(f"**Status**: {service['status']}")
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st.write(service['desc'])
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st.code(service['tech'], language=None)
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st.markdown("**Key Features:**")
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for feature in service['features']:
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st.markdown(f"β’ {feature}")
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st.write("")
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st.header("β‘ Tech Stack & Tools")
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tech_col1, tech_col2, tech_col3, tech_col4 = st.columns(4)
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with tech_col1:
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st.markdown("**Deep Learning**")
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st.markdown("""
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β’ PyTorch
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β’ TensorFlow
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β’ Scikit-learn
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β’ OpenCV
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""")
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with tech_col2:
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st.markdown("**NLP & LLMs**")
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st.markdown("""
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β’ HuggingFace Transformers
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β’ LangChain
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β’ OpenAI API
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β’ Anthropic Claude
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""")
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with tech_col3:
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st.markdown("**Backend & APIs**")
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st.markdown("""
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β’ FastAPI
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β’ Streamlit
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β’ PostgreSQL
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β’ Redis
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""")
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with tech_col4:
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st.markdown("**DevOps & Deploy**")
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st.markdown("""
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β’ AWS (EC2, S3, ECS)
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β’ Docker
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β’ GitHub Actions
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β’ HuggingFace Spaces
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""")
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st.write("")
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# GitHub & Contact
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st.header("Connect With Me")
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contact_col1, contact_col2, contact_col3, contact_col4 = st.columns(4)
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with contact_col1:
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st.markdown("** GitHub**")
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st.markdown("[View All Projects](https://github.com/Suchith-nj)")
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with contact_col2:
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st.markdown("** LinkedIn**")
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st.markdown("[Connect](https://linkedin.com/in/suchith-nj)")
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with contact_col3:
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st.markdown("** Email**")
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st.markdown("[Contact Me](mailto:suchithnj12@gmail.com)")
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# Footer
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st.write("")
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st.write("")
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st.markdown("---")
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st.markdown(f"""
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<div style="text-align: center; opacity: 0.7; padding: 1rem;">
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<p>Built using <strong>Streamlit</strong> | Hosted on <strong>π€ HuggingFace Spaces</strong></p>
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<p>Last Updated: {datetime.now().strftime('%B %Y')} | Week 0 Foundation Complete</p>
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<p><a href="https://github.com/Suchith-nj/ai-portfolio" target="_blank">View Source Code on GitHub</a></p>
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</div>
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""", unsafe_allow_html=True)
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# Sidebar
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with st.sidebar:
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st.markdown("## AI Services Portfolio")
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st.markdown("**Suchith Natraj Javali**")
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st.markdown("AI Engineer")
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import streamlit as st
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st.title("Test - Suchith NJ Portfolio")
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| 4 |
+
st.write("If you see this, the app is working!")
|
| 5 |
+
st.success("β
Space is running correctly")
|
| 6 |
+
|
| 7 |
+
# import streamlit as st
|
| 8 |
+
# from datetime import datetime
|
| 9 |
+
|
| 10 |
+
# # Page config
|
| 11 |
+
# st.set_page_config(
|
| 12 |
+
# page_title="Suchith Natraj Javali - AI Portfolio",
|
| 13 |
+
# page_icon="π€",
|
| 14 |
+
# layout="wide",
|
| 15 |
+
# initial_sidebar_state="expanded"
|
| 16 |
+
# )
|
| 17 |
+
|
| 18 |
+
# # Custom CSS
|
| 19 |
+
# st.markdown("""
|
| 20 |
+
# <style>
|
| 21 |
+
# .main {padding: 2rem;}
|
| 22 |
+
# h1 {color: #FF9D00;}
|
| 23 |
+
# .highlight-box {
|
| 24 |
+
# padding: 2rem;
|
| 25 |
+
# background: linear-gradient(135deg, #FF9D00 0%, #FFD21E 100%);
|
| 26 |
+
# color: #1F1F1F;
|
| 27 |
+
# border-radius: 10px;
|
| 28 |
+
# margin: 1rem 0;
|
| 29 |
+
# box-shadow: 0 4px 6px rgba(0,0,0,0.1);
|
| 30 |
+
# }
|
| 31 |
+
# .metric-card {
|
| 32 |
+
# background: #f0f2f6;
|
| 33 |
+
# padding: 1.5rem;
|
| 34 |
+
# border-radius: 10px;
|
| 35 |
+
# text-align: center;
|
| 36 |
+
# }
|
| 37 |
+
# </style>
|
| 38 |
+
# """, unsafe_allow_html=True)
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
# col1, col2 = st.columns([3, 1])
|
| 42 |
# with col1:
|
| 43 |
+
# st.title("Suchith Natraj Javali - AI Portfolio")
|
| 44 |
+
# st.markdown("### Production-Ready AI/ML Services")
|
| 45 |
+
# with col2:
|
| 46 |
+
# st.markdown("[](https://huggingface.co/suchithnj12)")
|
| 47 |
+
# st.markdown("[](https://github.com/Suchith-nj)")
|
| 48 |
+
|
| 49 |
+
# # Hero section
|
| 50 |
+
# st.markdown("""
|
| 51 |
+
# <div class="highlight-box">
|
| 52 |
+
# <h2 style="color: #1F1F1F; margin: 0;">Welcome to My AI Portfolio</h2>
|
| 53 |
+
# <p style="color: #1F1F1F; opacity: 0.9; margin-top: 0.5rem; font-size: 1.1rem;">
|
| 54 |
+
# Explore my collection of <strong>production-ready AI/ML services</strong> built with
|
| 55 |
+
# PyTorch, HuggingFace Transformers, LangChain, and modern frameworks.
|
| 56 |
+
# Each service demonstrates end-to-end ML engineering capabilities.
|
| 57 |
+
# </p>
|
| 58 |
+
# <p style="color: #1F1F1F; opacity: 0.8; margin-top: 0.5rem;">
|
| 59 |
+
# π‘ <strong>16GB RAM</strong> | 2 vCPU | Hosted on HuggingFace Spaces
|
| 60 |
+
# </p>
|
| 61 |
+
# </div>
|
| 62 |
+
# """, unsafe_allow_html=True)
|
| 63 |
+
|
| 64 |
+
# st.write("")
|
| 65 |
+
|
| 66 |
+
# # Metrics row
|
| 67 |
+
# col1, col2, col3, col4 = st.columns(4)
|
| 68 |
+
|
| 69 |
+
# with col1:
|
| 70 |
+
# st.markdown('<div class="metric-card">', unsafe_allow_html=True)
|
| 71 |
+
# st.metric(label="Total Services", value="10+", delta="Growing")
|
| 72 |
+
# st.markdown('</div>', unsafe_allow_html=True)
|
| 73 |
+
|
| 74 |
+
# with col2:
|
| 75 |
+
# st.markdown('<div class="metric-card">', unsafe_allow_html=True)
|
| 76 |
+
# st.metric(label="Primary Stack", value="Python", delta="PyTorch & LangChain")
|
| 77 |
+
# st.markdown('</div>', unsafe_allow_html=True)
|
| 78 |
+
|
| 79 |
+
# with col3:
|
| 80 |
+
# st.markdown('<div class="metric-card">', unsafe_allow_html=True)
|
| 81 |
+
# st.metric(label="Platform", value="HuggingFace", delta="16GB RAM")
|
| 82 |
+
# st.markdown('</div>', unsafe_allow_html=True)
|
| 83 |
+
|
| 84 |
+
# with col4:
|
| 85 |
+
# st.markdown('<div class="metric-card">', unsafe_allow_html=True)
|
| 86 |
+
# st.metric(label="Status", value="Active", delta="Week 0")
|
| 87 |
+
# st.markdown('</div>', unsafe_allow_html=True)
|
| 88 |
+
|
| 89 |
+
# st.write("")
|
| 90 |
+
|
| 91 |
+
# # About section
|
| 92 |
+
# # st.header("π¨βπ» About This Portfolio")
|
| 93 |
+
|
| 94 |
+
# # col1, col2 = st.columns([2, 1])
|
| 95 |
+
|
| 96 |
+
# # with col1:
|
| 97 |
+
# # st.markdown("""
|
| 98 |
+
# # I'm an **AI Engineer** specializing in building production-ready ML services.
|
| 99 |
+
# # This portfolio showcases my ability to:
|
| 100 |
|
| 101 |
+
# # - **Train & Fine-tune Models**: Deep learning with PyTorch, transfer learning
|
| 102 |
+
# # - **Deploy to Production**: FastAPI, Docker, AWS, scalable architectures
|
| 103 |
+
# # - **Full-Stack AI Apps**: End-to-end applications with modern frameworks
|
| 104 |
+
# # - **MLOps Practices**: Experiment tracking, monitoring, CI/CD pipelines
|
| 105 |
+
# # - **Multi-Agent Systems**: Coordinated AI agents with LangChain & AutoGen
|
| 106 |
+
# # - **LLM Applications**: RAG pipelines, prompt engineering, agent frameworks
|
| 107 |
+
# # """)
|
| 108 |
+
|
| 109 |
+
# # with col2:
|
| 110 |
+
# # st.info("**Navigate Services**\n\nUse the sidebar to explore each AI service")
|
| 111 |
+
# # st.success("**β¨ New Service Every Week**\n\nThis portfolio grows weekly as I build new services")
|
| 112 |
+
|
| 113 |
+
# # st.write("")
|
| 114 |
+
|
| 115 |
+
# # Services Grid
|
| 116 |
+
# st.header("π οΈ Available AI Services")
|
| 117 |
+
# st.markdown("Select any service from the sidebar to explore β")
|
| 118 |
+
|
| 119 |
+
# # Service cards in expandable sections
|
| 120 |
+
# col1, col2 = st.columns(2)
|
| 121 |
+
|
| 122 |
+
# services_left = [
|
| 123 |
+
# {
|
| 124 |
+
# "icon": "πΌοΈ",
|
| 125 |
+
# "name": "Image Classifier",
|
| 126 |
+
# "status": "Week 1",
|
| 127 |
+
# "desc": "Fine-tuned ResNet18 for multi-class image classification",
|
| 128 |
+
# "tech": "PyTorch β’ Transfer Learning β’ FastAPI",
|
| 129 |
+
# "features": ["Upload images", "Real-time classification", "Confidence scores"]
|
| 130 |
+
# },
|
| 131 |
+
# {
|
| 132 |
+
# "icon": "π¬",
|
| 133 |
+
# "name": "Sentiment Analysis",
|
| 134 |
+
# "status": "Week 2",
|
| 135 |
+
# "desc": "BERT-based sentiment detection for text analysis",
|
| 136 |
+
# "tech": "HuggingFace Transformers β’ BERT β’ FastAPI",
|
| 137 |
+
# "features": ["Multi-language support", "Batch processing", "Fine-tuned on domain data"]
|
| 138 |
+
# },
|
| 139 |
+
# {
|
| 140 |
+
# "icon": "π€",
|
| 141 |
+
# "name": "AI Chatbot",
|
| 142 |
+
# "status": "Week 3",
|
| 143 |
+
# "desc": "Conversational AI with memory and context awareness",
|
| 144 |
+
# "tech": "LangChain β’ OpenAI β’ PostgreSQL β’ Memory",
|
| 145 |
+
# "features": ["Context retention", "Conversation history", "Multi-turn dialogue"]
|
| 146 |
+
# },
|
| 147 |
+
# {
|
| 148 |
+
# "icon": "π",
|
| 149 |
+
# "name": "Document Q&A (RAG)",
|
| 150 |
+
# "status": "Week 4",
|
| 151 |
+
# "desc": "Retrieval-Augmented Generation for document understanding",
|
| 152 |
+
# "tech": "LangChain β’ Pinecone β’ Vector Search β’ RAG",
|
| 153 |
+
# "features": ["PDF/DOCX upload", "Semantic search", "Source citations"]
|
| 154 |
+
# },
|
| 155 |
+
# ]
|
| 156 |
+
|
| 157 |
+
# services_right = [
|
| 158 |
+
# {
|
| 159 |
+
# "icon": "π",
|
| 160 |
+
# "name": "Multi-Doc RAG",
|
| 161 |
+
# "status": "Week 5",
|
| 162 |
+
# "desc": "Advanced RAG system handling multiple documents",
|
| 163 |
+
# "tech": "ChromaDB β’ Hybrid Search β’ Re-ranking",
|
| 164 |
+
# "features": ["Multiple file upload", "Cross-document queries", "Advanced retrieval"]
|
| 165 |
+
# },
|
| 166 |
+
# {
|
| 167 |
+
# "icon": "π§",
|
| 168 |
+
# "name": "AI Agent with Tools",
|
| 169 |
+
# "status": "Week 6",
|
| 170 |
+
# "desc": "Autonomous agent that can use external tools",
|
| 171 |
+
# "tech": "LangChain Agents β’ ReAct β’ Function Calling",
|
| 172 |
+
# "features": ["Web search", "Calculator", "API integration"]
|
| 173 |
+
# },
|
| 174 |
+
# {
|
| 175 |
+
# "icon": "π₯",
|
| 176 |
+
# "name": "Multi-Agent System",
|
| 177 |
+
# "status": "Week 7",
|
| 178 |
+
# "desc": "Coordinated AI agents for complex research tasks",
|
| 179 |
+
# "tech": "AutoGen β’ LangGraph β’ Multi-Agent",
|
| 180 |
+
# "features": ["Agent coordination", "Task delegation", "Parallel execution"]
|
| 181 |
+
# },
|
| 182 |
+
# {
|
| 183 |
+
# "icon": "π¨",
|
| 184 |
+
# "name": "Image Analysis (Multi-Modal)",
|
| 185 |
+
# "status": "Week 9",
|
| 186 |
+
# "desc": "Vision-language understanding with CLIP/BLIP",
|
| 187 |
+
# "tech": "CLIP β’ BLIP β’ Multi-Modal",
|
| 188 |
+
# "features": ["Image captioning", "Visual Q&A", "Object detection"]
|
| 189 |
+
# },
|
| 190 |
+
# ]
|
| 191 |
+
|
| 192 |
+
# with col1:
|
| 193 |
+
# for service in services_left:
|
| 194 |
+
# with st.expander(f"{service['icon']} {service['name']}", expanded=False):
|
| 195 |
+
# st.markdown(f"**Status**: {service['status']}")
|
| 196 |
+
# st.write(service['desc'])
|
| 197 |
+
# st.code(service['tech'], language=None)
|
| 198 |
+
# st.markdown("**Key Features:**")
|
| 199 |
+
# for feature in service['features']:
|
| 200 |
+
# st.markdown(f"β’ {feature}")
|
| 201 |
|
| 202 |
# with col2:
|
| 203 |
+
# for service in services_right:
|
| 204 |
+
# with st.expander(f"{service['icon']} {service['name']}", expanded=False):
|
| 205 |
+
# st.markdown(f"**Status**: {service['status']}")
|
| 206 |
+
# st.write(service['desc'])
|
| 207 |
+
# st.code(service['tech'], language=None)
|
| 208 |
+
# st.markdown("**Key Features:**")
|
| 209 |
+
# for feature in service['features']:
|
| 210 |
+
# st.markdown(f"β’ {feature}")
|
| 211 |
|
| 212 |
# st.write("")
|
| 213 |
+
# st.header("β‘ Tech Stack & Tools")
|
| 214 |
+
|
| 215 |
+
# tech_col1, tech_col2, tech_col3, tech_col4 = st.columns(4)
|
| 216 |
|
| 217 |
+
# with tech_col1:
|
| 218 |
+
# st.markdown("**Deep Learning**")
|
| 219 |
+
# st.markdown("""
|
| 220 |
+
# β’ PyTorch
|
| 221 |
+
# β’ TensorFlow
|
| 222 |
+
# β’ Scikit-learn
|
| 223 |
+
# β’ OpenCV
|
| 224 |
+
# """)
|
| 225 |
+
|
| 226 |
+
# with tech_col2:
|
| 227 |
+
# st.markdown("**NLP & LLMs**")
|
| 228 |
+
# st.markdown("""
|
| 229 |
+
# β’ HuggingFace Transformers
|
| 230 |
+
# β’ LangChain
|
| 231 |
+
# β’ OpenAI API
|
| 232 |
+
# β’ Anthropic Claude
|
| 233 |
+
# """)
|
| 234 |
+
|
| 235 |
+
# with tech_col3:
|
| 236 |
+
# st.markdown("**Backend & APIs**")
|
| 237 |
+
# st.markdown("""
|
| 238 |
+
# β’ FastAPI
|
| 239 |
+
# β’ Streamlit
|
| 240 |
+
# β’ PostgreSQL
|
| 241 |
+
# β’ Redis
|
| 242 |
+
# """)
|
| 243 |
+
|
| 244 |
+
# with tech_col4:
|
| 245 |
+
# st.markdown("**DevOps & Deploy**")
|
| 246 |
+
# st.markdown("""
|
| 247 |
+
# β’ AWS (EC2, S3, ECS)
|
| 248 |
+
# β’ Docker
|
| 249 |
+
# β’ GitHub Actions
|
| 250 |
+
# β’ HuggingFace Spaces
|
| 251 |
+
# """)
|
| 252 |
+
|
| 253 |
+
# st.write("")
|
| 254 |
+
|
| 255 |
+
# # GitHub & Contact
|
| 256 |
+
# st.header("Connect With Me")
|
| 257 |
+
|
| 258 |
+
# contact_col1, contact_col2, contact_col3, contact_col4 = st.columns(4)
|
| 259 |
+
|
| 260 |
+
# with contact_col1:
|
| 261 |
+
# st.markdown("** GitHub**")
|
| 262 |
+
# st.markdown("[View All Projects](https://github.com/Suchith-nj)")
|
| 263 |
+
|
| 264 |
+
# with contact_col2:
|
| 265 |
+
# st.markdown("** LinkedIn**")
|
| 266 |
+
# st.markdown("[Connect](https://linkedin.com/in/suchith-nj)")
|
| 267 |
+
|
| 268 |
+
# with contact_col3:
|
| 269 |
+
# st.markdown("** Email**")
|
| 270 |
+
# st.markdown("[Contact Me](mailto:suchithnj12@gmail.com)")
|
| 271 |
+
|
| 272 |
+
|
| 273 |
+
# # Footer
|
| 274 |
+
# st.write("")
|
| 275 |
+
# st.write("")
|
| 276 |
+
# st.markdown("---")
|
| 277 |
+
# st.markdown(f"""
|
| 278 |
+
# <div style="text-align: center; opacity: 0.7; padding: 1rem;">
|
| 279 |
+
# <p>Built using <strong>Streamlit</strong> | Hosted on <strong>π€ HuggingFace Spaces</strong></p>
|
| 280 |
+
# <p>Last Updated: {datetime.now().strftime('%B %Y')} | Week 0 Foundation Complete</p>
|
| 281 |
+
# <p><a href="https://github.com/Suchith-nj/ai-portfolio" target="_blank">View Source Code on GitHub</a></p>
|
| 282 |
+
# </div>
|
| 283 |
+
# """, unsafe_allow_html=True)
|
| 284 |
+
|
| 285 |
+
# # Sidebar
|
| 286 |
+
# with st.sidebar:
|
| 287 |
+
# st.markdown("## AI Services Portfolio")
|
| 288 |
+
# st.markdown("**Suchith Natraj Javali**")
|
| 289 |
+
# st.markdown("AI Engineer")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
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|
|
|
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|
|
|
|
|
|
| 290 |
|
| 291 |
+
# st.markdown("---")
|
| 292 |
|
| 293 |
+
# st.markdown("### Build Progress")
|
| 294 |
+
# progress = 5 # Update each week
|
| 295 |
+
# st.progress(progress / 100)
|
| 296 |
+
# st.caption(f"{progress}% Complete..")
|
| 297 |
+
# st.caption("Foundation deployed")
|
| 298 |
|
| 299 |
+
# st.markdown("---")
|
| 300 |
|
| 301 |
+
# st.markdown("### Navigation")
|
| 302 |
+
# st.info("Select a service from the **Pages** menu above to explore different AI capabilities")
|
| 303 |
|
| 304 |
+
# st.markdown("---")
|
| 305 |
|
| 306 |
+
# st.markdown("### π Quick Links")
|
| 307 |
+
# st.markdown("β’ [HuggingFace Profile](https://huggingface.co/suchithnj12)")
|
| 308 |
+
# st.markdown("β’ [GitHub](https://github.com/Suchith-nj)")
|
| 309 |
+
# st.markdown("β’ [LinkedIn](https://linkedin.com/in/suchith-nj)")
|
| 310 |
+
# st.markdown("---")
|
| 311 |
|
| 312 |
+
# st.markdown("### π‘ About")
|
| 313 |
+
# st.caption("""
|
| 314 |
+
# This portfolio showcases production-ready AI/ML services built with modern frameworks.
|
| 315 |
+
# Each service is a complete, deployable application demonstrating end-to-end ML engineering skills.
|
| 316 |
+
# """)
|
| 317 |
|
| 318 |
+
# st.markdown("---")
|
| 319 |
+
# st.caption("Β© 2024 Suchith Natraj Javali | All Rights Reserved")
|