Update projects.py

projects.py

@@ -6,6 +6,8 @@ def display_projects():
 
     # Define tab titles
     tab_titles = [
+        "Semantic Video Search",
+        "Video-QA System",
         "AdHubby: AI-Powered Marketing Campaign Generator",
         "Resume & CV Crafter",
         "Multi-Agent Job Search",
@@ -25,6 +27,44 @@ def display_projects():
 
     # Add content to each tab
     with tabs[0]:
+        st.subheader("🏆 Semantic Video Search")
+        st.markdown("**Winner - Liquid AI Hackathon** | Nov 2025")
+        st.markdown("""
+        - **Description**: Multimodal app for AI-driven video analysis and semantic search using LiquidAI's LFM2 models
+        - **Key Features**:
+            • Frame-by-frame analysis with LFM2-VL-450M
+            • Smart filtering to skip redundant frames
+            • Semantic search with transformer embeddings
+            • Clip extraction around matched frames
+            • YouTube URL + video upload support
+        - **Technical Implementation**:
+            • Temporal context modeling (t-1, t, t+1)
+            • 384-d sentence transformer embeddings (MiniLM-L6-v2)
+            • Top-K retrieval with cosine similarity
+            • Real-time progress tracking
+        - **Technologies**: LFM2-VL-450M, MiniLM-L6-v2, PyTorch, OpenCV, Streamlit, yt-dlp
+        - **Skills**: Computer Vision, Vision-Language Models, Semantic Search
+        """)
+
+    # Video-QA System
+    with tabs[1]:
+        st.subheader("Video-QA System")
+        st.markdown("**E2B + Groq + MCP + Notion** | Nov 2025")
+        st.markdown("""
+        - **Description**: Video Question-Answering system that processes videos in E2B sandbox, generates frame summaries via Groq VLM, and stores knowledge in Notion through MCP
+        - **Key Features**:
+            • Frame extraction + VLM analysis in isolated E2B VM
+            • MCP integration for structured video knowledge storage
+            • Chat interface for context-based Q&A
+            • Timestamp-accurate answers from video context
+            • YouTube links + local upload support
+        - **Motivation**: Solve difficulty of revisiting complex YouTube walkthroughs—turning videos into searchable, chat-ready knowledge bases
+        - **Technologies**: E2B, Groq API, Model Context Protocol (MCP), Notion API, VLM
+        - **Demo**: [YouTube Demo](https://youtu.be/u08LN_Gh4HE)
+        - **Reference**: [GitHub](https://github.com/niharpalem/VideoQA)
+        """)
+
+    with tabs[2]:
         st.subheader("AdHubby: AI-Powered Marketing Campaign Generator")
         st.markdown("""
         - **Description**: Multi-agent multimodal AI system that creates comprehensive marketing campaigns by combining strategic analysis, visual generation, and local landmark integration for small businesses
@@ -42,7 +82,7 @@ def display_projects():
         - **Achievement**: 🏆 **Tenstorrent Multi-Agent Hackathon Recognition** - Built in **5** hours
         - **Reference**: [GitHub Repository](https://github.com/niharpalem/AdHubby.com)
         """)
-    with tabs[1]:
+    with tabs[3]:
         st.subheader("LLM-powered Resume & CV Crafter")
         st.markdown("""
         - **Description**: Developed AI platform combining LLaMA-3 70B and Deepseek R1 with low-temperature settings for stable, tailored resume and CV generation
@@ -59,7 +99,7 @@ def display_projects():
         - **Reference**: [Link to Project](https://huggingface.co/spaces/Niharmahesh/Resume_and_CV_crafter)
         """)
 
-    with tabs[2]:
+    with tabs[4]:
         st.subheader("Multi-Agent Job Search System")
         st.markdown("""
         - **Description**: Built an AI-powered job search assistant using dual-LLaMA architecture for comprehensive job matching and analysis
@@ -75,7 +115,7 @@ def display_projects():
         - **Reference**: [Link to Project](https://huggingface.co/spaces/Niharmahesh/Multi_Agent_Job_search_and_match)
         """)
 
-    with tabs[3]:
+    with tabs[5]:
         st.subheader("Resume Easz")
         st.markdown("""
         - **Description**: Created an AI-driven resume analysis and enhancement tool using LLaMA 3.3 model
@@ -92,7 +132,7 @@ def display_projects():
         - **Reference**: [Link to Project](https://resume-easz.streamlit.app/)
         """)
 
-    with tabs[4]:
+    with tabs[6]:
         st.subheader("Job Easz")
         st.markdown("""
         - **Description**: Engineered comprehensive job aggregation platform for data roles with advanced analytics
@@ -109,7 +149,7 @@ def display_projects():
         - **Reference**: [Link to Project](https://huggingface.co/spaces/Niharmahesh/job_easz)
         """)
 
-    with tabs[5]:
+    with tabs[7]:
         st.subheader("Bitcoin Lightning Path Optimization")
         st.markdown("""
         - **Description**: Advanced payment routing optimization system for Bitcoin Lightning Network
@@ -124,7 +164,7 @@ def display_projects():
         - **Technologies**: XGBoost, Random Forest, AdaBoost, Graph Algorithms
         """)
 
-    with tabs[6]:
+    with tabs[8]:
         st.subheader("National Infrastructure Monitoring")
         st.markdown("""
         - **Description**: Developed satellite imagery analysis system for infrastructure change detection
@@ -141,7 +181,7 @@ def display_projects():
         - **Reference**: [Link to Project](https://huggingface.co/spaces/Niharmahesh/Data298)
         """)
 
-    with tabs[7]:
+    with tabs[9]:
         st.subheader("Stock Market Analysis with OpenAI Integration")
         st.markdown("""
         - **Description**: Created comprehensive stock market analysis system with multilingual capabilities
@@ -157,7 +197,7 @@ def display_projects():
         - **Technologies**: PySpark, Apache Airflow, Snowflake, OpenAI GPT-3.5
         """)
 
-    with tabs[8]:
+    with tabs[10]:
         st.subheader("Twitter Trend Analysis")
         st.markdown("""
         - **Description**: Engineered comprehensive Twitter analytics platform using GCP services
@@ -173,7 +213,7 @@ def display_projects():
         - **Technologies**: Google Cloud Platform, BigQuery, Apache Airflow, Tableau
         """)
 
-    with tabs[9]:
+    with tabs[11]:
         st.subheader("Restaurant Recommendation System")
         st.markdown("""
         - **Description**: Built hybrid recommendation system combining multiple filtering approaches
@@ -189,7 +229,7 @@ def display_projects():
         - **Technologies**: Collaborative Filtering, Content-Based Filtering, Flask, Folium
         """)
 
-    with tabs[10]:
+    with tabs[12]:
         st.subheader("ASL Translator")
         st.markdown("""
         - **Description**: Developed real-time American Sign Language translation system
@@ -206,7 +246,7 @@ def display_projects():
         - **Reference**: [Link to Project](https://huggingface.co/spaces/Niharmahesh/slr-easz)
         """)
 
-    with tabs[11]:
+    with tabs[13]:
         st.subheader("Squat Easy")
         st.markdown("""
         - **Description**: Developed deep learning system for squat form analysis and error detection