Merge branch 'main' of https://huggingface.co/spaces/Manyue-DataScientist/manyue-portfolio

.gitattributes

@@ -1 +1,39 @@
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+data/DA_Intro.mp4 filter=lfs diff=lfs merge=lfs -text
+data/DA_Resume.pdf filter=lfs diff=lfs merge=lfs -text
+data/ML_CV_Resume.pdf filter=lfs diff=lfs merge=lfs -text
 *.pdf filter=lfs diff=lfs merge=lfs -text

.gradio/certificate.pem

@@ -1,3 +1,4 @@
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+=======
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app.py

@@ -913,7 +913,6 @@ body {
     font-weight: 600;
     cursor: pointer;
     transition: all var(--transition-med);
-    margin-top: 20px;
     box-shadow: var(--shadow-sm);
     display: inline-block;
     text-decoration: none;
@@ -962,7 +961,6 @@ body {
 .project-link svg {
     width: 16px;
     height: 16px;
-    margin-right: 5px;
 }
 .da-section .project-title-text { color: var(--primary-da); }
 .ml-section .project-title-text { color: var(--primary-ml); }
@@ -1286,7 +1284,36 @@ button:active {
     transform: scale(0.95);
     transition: transform 0.1s ease;
 }
+
+/* Scroll to Top Button */
+.scroll-to-top {
+    position: fixed;
+    bottom: 20px;
+    right: 20px;
+    background: linear-gradient(45deg, var(--primary-da), var(--primary-cv));
+    color: white;
+    border: none;
+    border-radius: 50%;
+    width: 50px;
+    height: 50px;
+    font-size: 1.5rem;
+    font-weight: bold;
+    cursor: pointer;
+    box-shadow: var(--shadow-md);
+    display: none; /* Initially hidden */
+    align-items: center;
+    justify-content: center;
+    transition: all var(--transition-med);
+    z-index: 1000;
+}
+
+.scroll-to-top:hover {
+    transform: translateY(-3px);
+    box-shadow: var(--shadow-lg);
+    filter: brightness(1.1);
+}
 """
+
 # Load all content from JSON files
 try:
     profile_data = load_json("profile")
@@ -1360,7 +1387,6 @@ with gr.Blocks(title=f"{profile_data.get('name', 'Portfolio')}", css=portfolio_c
                         <div class="click-to-view da-click">Click to view</div>
                         </div>
                     </div>
-                    </div>
                     ''')
                     
                 with gr.Column():
@@ -1378,7 +1404,6 @@ with gr.Blocks(title=f"{profile_data.get('name', 'Portfolio')}", css=portfolio_c
                         <div class="click-to-view ml-click">Click to view</div>
                         </div>
                     </div>
-                    </div>
                     ''')
                     
                 with gr.Column():
@@ -1396,7 +1421,6 @@ with gr.Blocks(title=f"{profile_data.get('name', 'Portfolio')}", css=portfolio_c
                         <div class="click-to-view cv-click">Click to view</div>
                         </div>
                     </div>
-                    </div>
                     ''')
 
             gr.HTML(f'''
@@ -1412,8 +1436,8 @@ with gr.Blocks(title=f"{profile_data.get('name', 'Portfolio')}", css=portfolio_c
                         <div class="timeline-content">
                             <div class="timeline-title">Bachelor's in Commerce (89%)</div>
                             <div class="timeline-details">
-                                <p class="timeline-location">University Name</p>
-                                <p>Graduated with honors focusing on business analytics.</p>
+                                <p class="timeline-location">SRM University Chennai</p>
+                                <p>Graduated with honors focusing on Business and Finance.</p>
                             </div>
                         </div>
                     </div>
@@ -1424,8 +1448,8 @@ with gr.Blocks(title=f"{profile_data.get('name', 'Portfolio')}", css=portfolio_c
                         <div class="timeline-content">
                             <div class="timeline-title">Junior Software Engineer at Cognizant</div>
                             <div class="timeline-details">
-                                <p class="timeline-location">Cognizant</p>
-                                <p>Developed web applications and data visualization systems.</p>
+                                <p class="timeline-location">Chennai India</p>
+                                <p>Developed and maintained enterprise-grade Java applications for the Insurance domain</p>
                             </div>
                         </div>
                     </div>
@@ -1436,8 +1460,8 @@ with gr.Blocks(title=f"{profile_data.get('name', 'Portfolio')}", css=portfolio_c
                         <div class="timeline-content">
                             <div class="timeline-title">Post-Graduation in AI/ML (97%)</div>
                             <div class="timeline-details">
-                                <p class="timeline-location">University Name, Canada</p>
-                                <p>Advanced studies in machine learning and data science.</p>
+                                <p class="timeline-location">George Brown college,Canada</p>
+                                <p>Advanced studies in AI/ML and data science.</p>
                             </div>
                         </div>
                     </div>
@@ -1470,7 +1494,7 @@ with gr.Blocks(title=f"{profile_data.get('name', 'Portfolio')}", css=portfolio_c
                         
                         // Remove active class from all nodes
                         timelineNodes.forEach(n => n.classList.remove('active'));
-                        
+                                            
                         // If node wasn't active before, make it active
                         if (!isActive) {
                             this.classList.add('active');
@@ -1485,10 +1509,10 @@ with gr.Blocks(title=f"{profile_data.get('name', 'Portfolio')}", css=portfolio_c
             });
             </script>
             """)
-            
+                        
             # Contact section
             gr.HTML(generate_contact_html())
-    
+        
     # Add a Gradio File component to serve the resume file
     gr.File(value="data/resume.pdf", label="Resume", interactive=False, visible=False)
 
@@ -1496,11 +1520,40 @@ with gr.Blocks(title=f"{profile_data.get('name', 'Portfolio')}", css=portfolio_c
     da_button.click(show_data_analytics, inputs=None, outputs=[landing_section, da_section, ml_section, cv_section])
     ml_button.click(show_machine_learning, inputs=None, outputs=[landing_section, da_section, ml_section, cv_section])
     cv_button.click(show_computer_vision, inputs=None, outputs=[landing_section, da_section, ml_section, cv_section])
-    
+        
     back_from_da.click(go_home, inputs=None, outputs=[landing_section, da_section, ml_section, cv_section])
     back_from_ml.click(go_home, inputs=None, outputs=[landing_section, da_section, ml_section, cv_section])
     back_from_cv.click(go_home, inputs=None, outputs=[landing_section, da_section, ml_section, cv_section])
 
+    # Scroll to Top Button
+    gr.HTML("""
+    <button id="scrollToTop" class="scroll-to-top" aria-label="Scroll to Top">
+        ↑
+    </button>
+    <script>
+    document.addEventListener('DOMContentLoaded', function () {
+        const scrollToTopButton = document.getElementById('scrollToTop');
+
+        // Show or hide the button based on scroll position
+        window.addEventListener('scroll', function () {
+            if (window.scrollY > 300) {
+                scrollToTopButton.style.display = 'flex'; // Use 'flex' for proper alignment
+            } else {
+                scrollToTopButton.style.display = 'none';
+            }
+        });
+
+        // Scroll to top when the button is clicked
+        scrollToTopButton.addEventListener('click', function () {
+            window.scrollTo({
+                top: 0,
+                behavior: 'smooth'
+            });
+        });
+    });
+    </script>
+    """)
+
 # Launch the app
 if __name__ == "__main__":
     demo.launch()

data/admission_predictor_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce3b362f3e71df83333977efb040610f5cdcf915d33e0a07c2d9a7894e8c6f3e
+size 1718

data/knowledge_base.json

@@ -0,0 +1,295 @@
+{
+    "personal_details": {
+      "full_name": "Manyue Javvadi",
+      "current_location": "Canada",
+      "nationality": "Indian",
+      "professional_summary": "I'm Manyue Javvadi, a Machine Learning enthusiast passionate about creating projects that push the limits of innovation. Guided by the belief that 'Imagination is more powerful than knowledge,' as Albert Einstein once said, I strive to develop solutions that enhance human potential, not replace it. Explore the ideas and creations that aren't just part of the present—they're shaping a future where technology and humanity thrive together.",
+      "online_presence": {
+        "personal_website": "https://manyuejavvadi.netlify.app/",
+        "linkedin": "https://www.linkedin.com/in/manyue-javvadi-datascientist/",
+        "portfolio": "https://manyue-datascientist-portfolio.streamlit.app/",
+        "blog_posts": [
+          {
+            "title": "The Questions That Kept Me Up All Night: My Sleepless Struggle to Understand NLP",
+            "focus": "Deep dive into Natural Language Processing challenges and insights"
+          },
+          {
+            "title": "Are We Headed Toward the Next Threat, Bigger Than a Nuclear Bomb?",
+            "focus": "Analysis of AI safety and ethical considerations"
+          },
+          {
+            "title": "How KNN Works: A Simple Explanation of Nearest Neighbors",
+            "link":"https://knn-algorithm-explained-by-manyue-javvadi.hashnode.dev/how-knn-works-a-simple-explanation-of-nearest-neighbors",
+            "focus": "Educational content breaking down ML algorithms"
+          }
+        ]
+      },
+      "career_transition": {
+        "key_decision": "Transitioned from Java development at Cognizant to pursue ML/AI dream in Canada",
+        "motivation": "Combining technical expertise with innovation and commerce skills in ML/AI field",
+        "current_focus": "Building practical ML solutions while advancing education in Canada"
+      }
+    },
+    "education": {
+      "postgraduate": [
+        {
+          "course_name": "Big Data Analytics",
+          "institution": "Georgian College",
+          "graduation_year": "2024",
+          "gpa": "8.3/10",
+          "achievements": ["Dean's List Honoree"],
+          "key_courses": [
+            "Advanced Machine Learning",
+            "Big Data Processing",
+            "Statistical Analysis",
+            "Data Visualization"
+          ]
+        },
+        {
+          "course_name": "Applied AI Solutions Development Program",
+          "institution": "George Brown College",
+          "graduation_year": "2025",
+          "gpa": "3.8/4.0",
+          "key_courses": [
+            "Deep Learning Applications",
+            "Natural Language Processing",
+            "Computer Vision",
+            "MLOps and Deployment"
+          ]
+        }
+      ],
+      "undergraduate": {
+        "course_name": "Bachelor of Commerce",
+        "institution": "SRM University Chennai",
+        "graduation_year": "2021",
+        "grade": "89%",
+        "relevance": "Strong foundation in business analytics and decision-making"
+      },
+      "ongoing_learning": {
+        "certifications_in_progress": ["MLOps Specialization"],
+        "areas_of_focus": [
+          "Model Deployment",
+          "CI/CD for ML",
+          "ML System Design"
+        ]
+      }
+    },
+    "skills": {
+      "technical_skills": {
+        "machine_learning": {
+          "core": ["Supervised Learning", "Unsupervised Learning", "Neural Networks"],
+          "frameworks": ["scikit-learn", "TensorFlow", "PyTorch"],
+          "focus_areas": ["NLP", "Computer Vision", "Recommendation Systems"]
+        },
+        "programming": {
+          "primary": ["Python", "Java"],
+          "libraries": ["NumPy", "Pandas", "Matplotlib", "Seaborn"],
+          "tools": ["Git", "Docker"]
+        },
+        "data": {
+          "databases": ["SQL", "MongoDB"],
+          "visualization": ["Tableau", "PowerBI"],
+          "processing": ["PySpark", "Hadoop"]
+        },
+        "deployment": {
+          "web": ["Streamlit", "Flask"],
+          "mlops": ["MLflow", "DVC"],
+          "version_control": ["Git", "GitHub"]
+        }
+      },
+      "soft_skills": [
+        {
+          "skill": "Problem-solving",
+          "context": "Developed innovative solutions in ML projects"
+        },
+        {
+          "skill": "Communication",
+          "context": "Technical blog writing and project documentation"
+        },
+        {
+          "skill": "Adaptability",
+          "context": "Successfully transitioned from commerce to tech"
+        },
+        {
+          "skill": "Leadership",
+          "context": "Led project teams and initiatives"
+        }
+      ]
+    },
+    "professional_experience": {
+      "work_experience": [
+        {
+          "position": "Junior Software Engineer",
+          "company": "Cognizant",
+          "duration": "June 2021 – September 2023",
+          "location": "Chennai, India",
+          "achievements": [
+            "Developed and maintained Java applications in insurance domain",
+            "Led migration from SVN to GitHub for improved development workflow",
+            "Collaborated with cross-functional teams for requirement analysis",
+            "Resolved version conflicts during application upgrades"
+          ],
+          "technologies_used": [
+            "Java",
+            "Spring Framework",
+            "SQL",
+            "Git"
+          ],
+          "impact": "Improved documentation process and streamlined backend storage"
+        }
+      ]
+    },
+    "projects": {
+      
+        "major_projects": [
+            {
+              "name": "AI-Powered POS System",
+              "description": "An innovative Point-of-Sale system that integrates cutting-edge AI technologies to revolutionize restaurant operations. The project involves proprietary algorithms and novel approaches that are currently under IP discussion with my institution.",
+              "impact": "Aims to transform how restaurants handle operations, inventory, and customer service using AI",
+              "skills_used": ["Python", "MLOps", "Deep Learning", "Computer Vision"],
+              "status": "Under active development - MVP phase",
+              "confidentiality_note": "Full details under IP review"
+            },
+            {
+              "name": "Innovative E-commerce Enhancement",
+              "description": "Developing a transformative feature for Shopify stores that leverages advanced NLP and ML techniques to significantly improve customer engagement and conversion rates.",
+              "impact": "Early testing shows promising results in customer interaction metrics",
+              "skills_used": ["Python", "Neural Networks", "NLP", "Deep Learning"],
+              "status": "In development - proprietary solution",
+              "confidentiality_note": "Details limited due to potential commercial application"
+            },
+            {
+              "name": "Smart Nutrition Recommendation System",
+              "description": "An innovative system that scans product barcodes and analyzes nutrition labels to provide personalized healthy alternatives based on user preferences and dietary requirements.",
+              "key_features": [
+                "Barcode scanning integration",
+                "Nutrition analysis engine",
+                "Personalized recommendation algorithm",
+                "Alternative product matching"
+              ],
+              "technical_details": {
+                "data_processing": "Real-time nutrition label analysis",
+                "ml_models": "Custom recommendation engine using collaborative and content-based filtering",
+                "user_profiling": "Dynamic preference learning system"
+              },
+              "skills_used": ["Python", "Computer Vision", "Machine Learning", "Recommendation Systems"],
+              "status": "Prototype development",
+              "target_impact": "Making healthy food choices more accessible and personalized"
+            },
+            {
+              "name": "AI Portfolio Assistant",
+              "description": "A sophisticated chatbot leveraging LLM technology to provide dynamic, context-aware responses about my professional journey and projects.",
+              "key_features": [
+                "Natural language understanding",
+                "Context-aware responses",
+                "Dynamic job description analysis"
+              ],
+              "skills_used": ["Python", "LLMs", "Streamlit", "NLP"],
+              "status": "Deployed and actively enhanced"
+            }
+          ],
+          "algorithm_practice_projects": [
+            {
+              "name": "University Admission Predictor",
+              "type": "Linear Regression Implementation",
+              "description": "Built from scratch to understand core regression concepts, helping Jamboree predict admission chances for international students.",
+              "technical_focus": "Custom implementation of linear regression without using sklearn",
+              "skills_developed": ["Statistical Analysis", "Algorithm Implementation", "Feature Engineering"],
+              "accuracy": "81% on test data",
+              "status": "Completed"
+            },
+            {
+              "name": "LoanTap Credit Assessment",
+              "type": "Logistic Regression Implementation",
+              "description": "Custom-built logistic regression model for credit worthiness prediction",
+              "technical_focus": "Implementation of logistic regression from scratch",
+              "skills_developed": ["Credit Risk Modeling", "Binary Classification", "Model Evaluation"],
+              "status": "Completed"
+            },
+            {
+              "name": "OLA Driver Retention Analysis",
+              "type": "Ensemble Learning",
+              "description": "Predictive modeling for driver churn using various ensemble techniques",
+              "technical_focus": "Implementation of multiple base models and ensemble methods",
+              "skills_developed": ["Ensemble Methods", "Feature Selection", "Model Comparison"],
+              "status": "Completed"
+            },
+            {
+              "name": "AdEase View Prediction",
+              "type": "Time Series Analysis",
+              "description": "Forecasting Wikipedia page views for optimal ad placement",
+              "technical_focus": "Implementation of time series models and forecasting techniques",
+              "skills_developed": ["Time Series Analysis", "Forecasting", "Data Preprocessing"],
+              "status": "Completed"
+            }
+          ]
+        },
+        
+  "personal_journey": {
+    "dietary_changes": "I transitioned to a vegetarian diet in 2021 but resumed eating non-veg in 2023 to address nutritional deficiencies.",
+    "life_changes": [
+      {
+        "date": "December 2023",
+        "event": "I relocated to Canada for advanced education."
+      }
+    ],
+    "mindset": "I am resilient, adaptable, and innovation-driven. I thrive on challenges and use setbacks as opportunities for growth.",
+    "motto_or_vision": "To leverage AI/ML to create solutions that enhance user experiences while retaining the human touch."
+  },
+  "goals_and_aspirations": {
+    "short_term": [
+      "I want to master advanced machine learning techniques.",
+      "I aim to expand my portfolio with impactful projects.",
+      "I seek to secure a role as an ML engineer in Canada."
+    ],
+    "long_term": [
+      "I plan to develop AI solutions that redefine retail and hospitality experiences.",
+      "I aspire to establish a successful AI startup.",
+      "I want to mentor aspiring AI professionals."
+    ]
+  },
+  "frequently_asked_questions": [
+    {
+      "question": "Why did you transition from commerce to AI/ML?",
+      "answer": "The transition from commerce to AI/ML was a result of an unexpected turn in my career journey. After completing my bachelor's degree in commerce, I was fortunate to land a job at Cognizant Technology Solutions as a Programmer Trainee. Despite having no prior experience in coding or programming, coming from a core commerce background, my eagerness to learn and quick adaptability caught the attention of my trainers. CTS gave me an opportunity, and during the initial 45-day training period and assessment, I performed exceptionally well in Java, which helped me secure a position in the development team. This was a remarkable achievement, as many computer science graduates typically end up in support roles. However, after working for a year, I realized that while I had developed a passion for programming, I still felt disconnected from my original interest in business and commerce. I knew I had to find a way to combine both my love for programming and my interest in business. That's when I discovered data science and machine learning, which seemed like the perfect intersection. With this newfound clarity, I embarked on a journey to master AI/ML, and now, I am truly enjoying the blend of technology and business that this field offers."
+    },
+    {
+      "question": "What unique qualities do you bring to the table?",
+      "answer": "I combine technical expertise with a fresh perspective, thanks to my diverse background. My adaptability and ability to think beyond conventional approaches are my biggest strengths."
+    },
+    {
+      "question": "What is your most innovative project?",
+      "answer": "The most innovative project is an AI-powered Point-of-Sale (POS) system designed to Reduce order time and order errors. I'm currently working with my college to secure intellectual property rights, so I can't disclose the full extent of its capabilities at this time. However, I'm confident that this project has the potential to significantly impact the restaurant industry."
+    }
+  ],
+  "career_development": {
+    "short_term": [
+      "I aim to continue mastering ML concepts through projects and coursework.",
+      "I want to build a portfolio that highlights my ability to solve real-world problems.",
+      "I plan to secure an ML engineer role in retail or hospitality AI."
+    ],
+    "long_term": [
+      "I intend to build AI tools that make a global impact in the retail sector.",
+      "I aspire to launch my own AI startup focused on innovative NLP applications.",
+      "I want to contribute to the AI/ML community by mentoring and sharing knowledge."
+    ],
+    "perspectives": {
+    "market_outlook": {
+      "job_market": "I believe market conditions are less about timing and more about preparation. While the market may have its ups and downs, I focus on building strong skills and creating impactful projects. Quality efforts and continuous learning will always find opportunities.",
+      "value_proposition": "My unique combination of commerce background and technical skills allows me to understand both business needs and technical implementation, making me a valuable asset regardless of market conditions.",
+      "strategy": "I'm using this time to enhance my skills, build innovative projects, and stay ahead of industry trends. It's about creating value, not just seeking opportunities."
+    },
+    "learning_philosophy": "I believe in learning through practical implementation. Rather than just studying algorithms, I build projects from scratch to truly understand the concepts.",
+    "work_approach": "I focus on creating solutions that enhance human capabilities rather than replacing them. Every project I undertake aims to solve real-world problems.",
+    "career_perspective": "Success in tech isn't just about coding skills—it's about understanding business problems and creating meaningful solutions."
+  },
+  "common_queries": {
+    "weather": "I'm focused on ML/AI and career discussions. For weather information, I'd recommend checking local weather services.",
+    "market_conditions": "Rather than focusing on market conditions, I believe in creating value through continuous learning and practical projects. Would you like to know about my approach to standing out in any market?",
+    "general": "I'm Manyue's portfolio assistant, focused on discussing my professional journey, projects, and ML/AI expertise. For general queries, I'd encourage exploring more relevant resources."
+  }
+}
+
+  }
+      
+