Update app.py

app.py

@@ -155,23 +155,23 @@ def display_projects():
         - **Reference**: [Link to Project](https://huggingface.co/spaces/Niharmahesh/Data298)
         """)
     with tabs[8]:
-    st.header("JobEasz: Data Job Search Platform")
-    st.markdown("""
-    - **Description**: Developed a comprehensive job aggregation platform for data-related roles, leveraging advanced data engineering techniques to streamline the job search process. The platform unifies listings from major job sites, provides daily updates, and offers real-time market trend visualizations.
-    - **Technologies Used**: Python for Web Scraping, PyArrow & Pandas for Data Processing, Hugging Face Datasets for Storage, Streamlit for Frontend, Plotly for Visualization
-    - **Key Features**:
-        • Daily updates with ~3000 jobs across various data roles in the US
-        • Custom filtering by role and location
-        • Direct application links to original postings
-        • Automated ETL pipeline for data extraction and processing
-        • Cloud-based storage for scalability and performance
-    - **Data Engineering Highlights**:
-        • Efficient data parsing and processing using PyArrow
-        • Scalable data storage and retrieval with Hugging Face Datasets
-        • Real-time data transformation and interactive visualizations
-    - **Skills**: Web Scraping, Python, Streamlit, Hugging Face, ETL, Data Cleaning, Dashboard Building
-    - **Reference**: [Link to Project](#https://huggingface.co/spaces/Niharmahesh/job_easz)
-    """)
+        st.header("JobEasz: Data Job Search Platform")
+        st.markdown("""
+        - **Description**: Developed a comprehensive job aggregation platform for data-related roles, leveraging advanced data engineering techniques to streamline the job search process. The platform unifies listings from major job sites, provides daily updates, and offers real-time market trend visualizations.
+        - **Technologies Used**: Python for Web Scraping, PyArrow & Pandas for Data Processing, Hugging Face Datasets for Storage, Streamlit for Frontend, Plotly for Visualization
+        - **Key Features**:
+            • Daily updates with ~3000 jobs across various data roles in the US
+            • Custom filtering by role and location
+            • Direct application links to original postings
+            • Automated ETL pipeline for data extraction and processing
+            • Cloud-based storage for scalability and performance
+        - **Data Engineering Highlights**:
+            • Efficient data parsing and processing using PyArrow
+            • Scalable data storage and retrieval with Hugging Face Datasets
+            • Real-time data transformation and interactive visualizations
+        - **Skills**: Web Scraping, Python, Streamlit, Hugging Face, ETL, Data Cleaning, Dashboard Building
+        - **Reference**: [Link to Project](#https://huggingface.co/spaces/Niharmahesh/job_easz)
+        """)
 
 
 def display_skills():