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.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+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

.gradio/certificate.pem

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+-----END CERTIFICATE-----

app.py

@@ -0,0 +1,319 @@
+import gradio as gr
+import base64
+
+# --- Helper Functions ---
+def file_to_data_uri(filepath, mime_type="application/pdf"):
+    with open(filepath, "rb") as f:
+        data = f.read()
+    b64 = base64.b64encode(data).decode("utf-8")
+    return f"data:{mime_type};base64,{b64}"
+
+def toggle_resume(is_visible):
+    new_state = not is_visible
+    new_label = "Hide Resume" if new_state else "View Resume"
+    return new_state, gr.update(visible=new_state), gr.update(value=new_label)
+
+# --- CSS ---
+portfolio_css = """
+/* Import Google font */
+@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;600;700&display=swap');
+
+body {
+    font-family: 'Poppins', sans-serif;
+    background: linear-gradient(to bottom right, #141414, #000);
+    margin: 0;
+    padding: 0;
+}
+.gr-container { 
+    max-width: 1200px; 
+    margin: 0 auto; 
+    padding: 20px; 
+}
+
+/* Landing Section */
+.landing-section { 
+    text-align: center; 
+    margin-bottom: 40px; 
+}
+.landing-section h1, .landing-section h2 {
+    color: #ffffff !important;
+    margin-top: 0;
+}
+.landing-section h1 { 
+    font-size: 2.8rem; 
+    font-weight: 700; 
+    margin-bottom: 0.5rem; 
+}
+.landing-section h2 { 
+    font-size: 2rem; 
+    font-weight: 600; 
+    margin-bottom: 1rem; 
+}
+
+/* Typewriter effect */
+.typing-animation {
+    display: inline-block;
+    overflow: hidden;
+    white-space: nowrap;
+    border-right: 2px solid #ffffff;
+    font-size: 2.8rem;
+    font-weight: 700;
+    width: 29ch;
+    animation: typing 4s steps(29, end) infinite alternate, blink-caret 0.75s step-end infinite;
+}
+@keyframes typing { from { width: 0ch; } to { width: 29ch; } }
+@keyframes blink-caret { 50% { border-color: transparent; } }
+
+/* Global text styling */
+p, li, span { 
+    color: #e8e8e8; 
+    font-size: 1.2rem; 
+}
+strong { 
+    background-color: #ffffff; 
+    color: #000; 
+    padding: 0.2rem 0.3rem; 
+    border-radius: 3px; 
+    font-weight: bold; 
+}
+
+/* Card styling */
+.card-container {
+    margin-bottom: 20px;
+    transition: transform 0.3s ease, box-shadow 0.3s ease;
+    text-align: center;
+}
+.card-container:hover {
+    transform: translateY(-8px);
+    box-shadow: 0 8px 16px rgba(0,0,0,0.5);
+}
+.clickable-card { cursor: pointer; }
+.card-content {
+    border-radius: 15px;
+    padding: 30px;
+    height: 150px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 24px;
+    color: white;
+    box-shadow: 0 4px 8px rgba(0,0,0,0.3);
+    margin-bottom: 10px;
+    font-weight: 600;
+}
+/* Card gradients */
+.card-da { background: linear-gradient(135deg, #6a11cb, #2575fc); }
+.card-ml { background: linear-gradient(135deg, #00c6ff, #0072ff); }
+.card-cv { background: linear-gradient(135deg, #f857a6, #ff5858); }
+
+/* Section headings */
+.da-section h1.section-heading { color: #6a11cb; }
+.ml-section h1.section-heading { color: #0072ff; }
+.cv-section h1.section-heading { color: #f857a6; }
+
+/* Back buttons */
+.back-button {
+    border: none;
+    border-radius: 20px;
+    padding: 6px 16px;
+    font-size: 0.85rem;
+    font-weight: 600;
+    cursor: pointer;
+    transition: transform 0.2s ease, box-shadow 0.2s ease;
+    margin-bottom: 20px;
+}
+.back-button:hover { 
+    transform: translateY(-3px); 
+    box-shadow: 0 4px 6px rgba(0,0,0,0.2); 
+}
+.back-button-da { background-color: #2575fc; color: #fff; }
+.back-button-ml { background-color: #0072ff; color: #fff; }
+.back-button-cv { background-color: #ff5858; color: #fff; }
+"""
+
+# --- Portfolio Layout ---
+with gr.Blocks(title="Manyue's Portfolio", css=portfolio_css) as demo:
+    # ----- Landing Page -----
+    with gr.Row(visible=True, elem_classes="landing-section") as landing_section:
+        with gr.Column():
+            gr.HTML("""
+            <div class="typing-animation">Welcome to Manyue's Portfolio</div><br>
+            <h2>About Me</h2>
+            <p>
+                Hi, I'm Manyue Javvadi – a software engineer turned AI/ML practitioner with a strong foundation in <strong>Commerce</strong> and extensive experience in <strong>machine learning, computer vision, and data analytics</strong>. 
+                After gaining valuable industry experience at <strong>Cognizant Technology Solutions</strong>, I pursued formal education in <strong>Applied AI</strong> and <strong>Big Data Analytics</strong> in Canada.
+                I excel at bridging <strong>business logic</strong> with <strong>innovative technical solutions</strong> to create systems that solve real-world challenges.
+            </p>
+            <h2>My Specializations</h2>
+            """)
+            with gr.Row():
+                with gr.Column():
+                    da_card = gr.HTML("""
+                    <div class="card-container clickable-card" onclick="document.getElementById('da_hidden').click()">
+                        <div class="card-content card-da"><span>Data Analytics</span></div>
+                        <p style="font-weight: bold;">Data storytelling, business analysis, and visualization</p>
+                    </div>
+                    """)
+                    da_hidden = gr.Button("", visible=False, elem_id="da_hidden")
+                with gr.Column():
+                    ml_card = gr.HTML("""
+                    <div class="card-container clickable-card" onclick="document.getElementById('ml_hidden').click()">
+                        <div class="card-content card-ml"><span>Machine Learning</span></div>
+                        <p style="font-weight: bold;">Applied ML for impactful decision-making and automation</p>
+                    </div>
+                    """)
+                    ml_hidden = gr.Button("", visible=False, elem_id="ml_hidden")
+                with gr.Column():
+                    cv_card = gr.HTML("""
+                    <div class="card-container clickable-card" onclick="document.getElementById('cv_hidden').click()">
+                        <div class="card-content card-cv"><span>Computer Vision</span></div>
+                        <p style="font-weight: bold;">Real-time object detection and accessibility solutions</p>
+                    </div>
+                    """)
+                    cv_hidden = gr.Button("", visible=False, elem_id="cv_hidden")
+    
+    # ----- Data Analytics Section -----
+    with gr.Column(visible=False, elem_classes="da-section") as da_section:
+        gr.Markdown("<h1 class='section-heading' style='margin-bottom: 20px;'>Data Analytics</h1>")
+        with gr.Tabs():
+            with gr.TabItem("Resume"):
+                gr.Markdown("### Professional Summary")
+                gr.Markdown("""
+**Professional Summary**  
+Detail-oriented Data Analyst with a strategic business mindset and robust technical skills in data manipulation, visualization, and predictive modeling. I transform raw data into clear insights that empower decision-makers.
+                """)
+                gr.Markdown("### Intro Video")
+                gr.Video(value="data/DA_Intro.mp4", label="Data Analytics Intro Video", autoplay=False)
+                gr.Markdown("### Resume Document Preview")
+                da_resume_state = gr.State(value=False)
+                with gr.Group(visible=False) as da_resume_container:
+                    da_pdf = file_to_data_uri("data/DA_Resume.pdf")
+                    gr.HTML(f"""<iframe src="{da_pdf}" width="100%" height="600px" style="border:none;"></iframe>""")
+                da_toggle_btn = gr.Button("View Resume")
+                da_toggle_btn.click(fn=toggle_resume, inputs=[da_resume_state], outputs=[da_resume_state, da_resume_container, da_toggle_btn])
+            with gr.TabItem("Skills"):
+                gr.Markdown("### Core Skills")
+                gr.Markdown("""
+- **Data Wrangling & Analysis:** Expert in SQL and Python (Pandas, NumPy) for efficient data cleaning and transformation.
+- **Exploratory Data Analysis:** Skilled in using Tableau, Matplotlib, and Seaborn to extract and visualize insights.
+- **Predictive Modeling:** Proficient in statistical modeling and forecasting to drive informed decision-making.
+                """)
+            with gr.TabItem("Projects"):
+                gr.Markdown("### Selected Projects")
+                gr.Markdown("""
+**LoanTap: Loan Eligibility Prediction**  
+Leveraged logistic regression and EDA to identify key factors influencing loan approvals.
+
+**Educational Data Insights**  
+Conducted deep statistical analysis to reveal trends in student performance.
+
+**Upcoming – Jamboree Admission Insights**  
+An initiative to predict graduate admissions using advanced data techniques.
+                """)
+        back_da = gr.Button("← Home", elem_classes=["back-button", "back-button-da"])
+    
+    # ----- Machine Learning Section -----
+    with gr.Column(visible=False, elem_classes="ml-section") as ml_section:
+        gr.Markdown("<h1 class='section-heading' style='margin-bottom: 20px;'>Machine Learning</h1>")
+        with gr.Tabs():
+            with gr.TabItem("Resume"):
+                gr.Markdown("### Professional Summary")
+                gr.Markdown("""
+**Professional Summary**  
+Passionate Machine Learning Engineer skilled in designing and deploying end-to-end ML solutions. I combine technical rigor with strategic insight to develop models that drive innovation and operational efficiency.
+                """)
+                gr.Markdown("### Intro Video")
+                gr.Markdown("_Intro video is coming soon._")
+                gr.Markdown("### Resume Document Preview")
+                ml_resume_state = gr.State(value=False)
+                with gr.Group(visible=False) as ml_resume_container:
+                    ml_pdf = file_to_data_uri("data/ML_CV_Resume.pdf")
+                    gr.HTML(f"""<iframe src="{ml_pdf}" width="100%" height="600px" style="border:none;"></iframe>""")
+                ml_toggle_btn = gr.Button("View Resume")
+                ml_toggle_btn.click(fn=toggle_resume, inputs=[ml_resume_state], outputs=[ml_resume_state, ml_resume_container, ml_toggle_btn])
+            with gr.TabItem("Skills"):
+                gr.Markdown("### Core Skills")
+                gr.Markdown("""
+- **ML Algorithms:** Deep understanding of regression, classification, clustering, and neural networks.
+- **Frameworks & Libraries:** Proficient with scikit-learn, TensorFlow, and XGBoost.
+- **Model Deployment:** Experienced in deploying models with Gradio and Streamlit.
+- **Data Engineering:** Skilled in feature engineering and data preprocessing for optimal model performance.
+                """)
+            with gr.TabItem("Projects"):
+                gr.Markdown("### Selected Projects")
+                gr.Markdown("""
+**University Admission Predictor**  
+Applied linear regression to forecast admission chances based on academic and test performance.
+
+[AI Chat Assistant](https://huggingface.co/spaces/Manyue-DataScientist/AI-Assistant)  
+Built as a demonstration of a practical AI application, this assistant revolutionizes how recruiters and hiring managers interact with my
+portfolio. Unlike traditional chatbots, it’s designed with a unique optimization approach that prioritizes efficiency and accuracy.
+
+[Speaker Diarization Application](https://huggingface.co/spaces/Manyue-DataScientist/speaker-diarization-app-v2)  
+Developed an advanced multi-speaker audio processing system that performs speaker diarization, transcription, and summarization to
+extract meaningful insights from multi-speaker conversations.
+                """)
+        back_ml = gr.Button("← Home", elem_classes=["back-button", "back-button-ml"])
+    
+    # ----- Computer Vision Section -----
+    with gr.Column(visible=False, elem_classes="cv-section") as cv_section:
+        gr.Markdown("<h1 class='section-heading' style='margin-bottom: 20px;'>Computer Vision</h1>")
+        with gr.Tabs():
+            with gr.TabItem("Resume"):
+                gr.Markdown("### Professional Summary")
+                gr.Markdown("""
+**Professional Summary**  
+Innovative Computer Vision Engineer dedicated to crafting real-time, scalable vision solutions. I focus on building systems that improve accessibility and automate complex visual tasks.
+                """)
+                gr.Markdown("### Intro Video")
+                gr.Markdown("_Intro video is coming soon._")
+                gr.Markdown("### Resume Document Preview")
+                cv_resume_state = gr.State(value=False)
+                with gr.Group(visible=False) as cv_resume_container:
+                    cv_pdf = file_to_data_uri("data/ML_CV_Resume.pdf")
+                    gr.HTML(f"""<iframe src="{cv_pdf}" width="100%" height="600px" style="border:none;"></iframe>""")
+                cv_toggle_btn = gr.Button("View Resume")
+                cv_toggle_btn.click(fn=toggle_resume, inputs=[cv_resume_state], outputs=[cv_resume_state, cv_resume_container, cv_toggle_btn])
+            with gr.TabItem("Skills"):
+                gr.Markdown("### Core Skills")
+                gr.Markdown("""
+- **Vision Algorithms:** Proficient in CNNs, YOLO, and segmentation for robust object detection.
+- **Technical Tools:** Expert in OpenCV, PyTorch, and TensorFlow for advanced image processing.
+- **Image Analysis:** Skilled in image enhancement, filtering, and OCR integration.
+- **Deep Learning:** Experienced with transfer learning and model fine-tuning for custom vision tasks.
+                """)
+            with gr.TabItem("Projects"):
+                gr.Markdown("### Selected Projects")
+                gr.Markdown("""
+**Smart Shopping Assistant**  
+An accessibility tool combining real-time object detection and OCR to guide visually impaired users in retail settings.
+
+**Traffic Flow Counter (Upcoming)**  
+An edge solution using Raspberry Pi to monitor and count vehicles at intersections.
+
+**Experimental Object Datasets**  
+Initiatives focused on training custom YOLO models to improve detection in complex environments.
+                """)
+        back_cv = gr.Button("← Home", elem_classes=["back-button", "back-button-cv"])
+    
+    # ----- Navigation Callbacks -----
+    def switch_to_da():
+        return (gr.update(visible=False), gr.update(visible=True), gr.update(visible=False), gr.update(visible=False))
+    def switch_to_ml():
+        return (gr.update(visible=False), gr.update(visible=False), gr.update(visible=(True)), gr.update(visible=(False)))
+    def switch_to_cv():
+        return (gr.update(visible=False), gr.update(visible=False), gr.update(visible=(False)), gr.update(visible=(True)))
+    def back_to_main():
+        return (gr.update(visible=True), gr.update(visible=(False)), gr.update(visible=(False)), gr.update(visible=(False)))
+    
+    # Hidden card triggers for section switching
+    da_hidden.click(fn=switch_to_da, outputs=[landing_section, da_section, ml_section, cv_section])
+    ml_hidden.click(fn=switch_to_ml, outputs=[landing_section, da_section, ml_section, cv_section])
+    cv_hidden.click(fn=switch_to_cv, outputs=[landing_section, da_section, ml_section, cv_section])
+    
+    # Back button bindings for each section
+    back_da.click(fn=back_to_main, outputs=[landing_section, da_section, ml_section, cv_section])
+    back_ml.click(fn=back_to_main, outputs=[landing_section, da_section, ml_section, cv_section])
+    back_cv.click(fn=back_to_main, outputs=[landing_section, da_section, ml_section, cv_section])
+    
+demo.launch()

data/DA_Intro.mp4

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+size 70519289

data/DA_Resume.pdf

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+oid sha256:73009b74b48b78f13f2a6d7e107810f813011e82397d89698c3810e4c0d996c2
+size 203466

data/ML_CV_Resume.pdf

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+oid sha256:d565d2c6621252cb291e1835fee75bc4aff6300b1f000c72223cbaf398489e86
+size 124568

data/admission_predictor_model.pkl

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+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."
+  }
+}
+
+  }
+      
+