Building practical applications with Python, AI, web technologies, and local-first intelligent systems.

• 🎓 Final-year Computer Science & Engineering student
• 🐍 Building practical applications using Python
• 🤖 Exploring Artificial Intelligence, NLP, and multimodal AI
• 🌐 Building web applications using Flask and Streamlit
• 💾 Working with SQL and SQLite for application development
• 🧠 Interested in AI-powered applications and semantic search
• 🛠️ I enjoy turning ideas into functional, user-friendly software
• 🚀 Currently strengthening my portfolio through projects, internships, hackathons, and continuous learning

A local-first multimodal AI knowledge assistant that transforms documents and images into searchable semantic memory and generates evidence-grounded answers.

• 📄 Multimodal document ingestion
• 👁️ Image understanding using Qwen2.5-VL 3B
• 🔤 OCR using Tesseract
• 🧠 Semantic memory using Sentence Transformers
• 🔎 Local vector search using FAISS
• 💬 Evidence-grounded question answering
• 🖼️ Visual information stored as searchable memory
• 🔒 Local-first AI processing using Ollama

Tech Stack: Python Streamlit Ollama Qwen2.5-VL FAISS Sentence Transformers Tesseract

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A feature-rich desktop task management application developed using Python, Tkinter, and SQLite.

• Task creation, editing, and deletion
• Priority management
• Task status tracking
• Search and filtering
• Persistent SQLite storage
• Interactive desktop GUI
• Modular Python architecture

Tech Stack: Python Tkinter SQLite

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A secure desktop password-management application built with Python, Tkinter, SQLite, and Fernet encryption.

• Master-password authentication
• Encrypted credential storage
• Secure local vault
• Password generator
• Password-strength analysis
• Credential search and filtering
• Desktop GUI

Tech Stack: Python Tkinter SQLite Fernet Encryption

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An interactive Natural Language Processing application capable of analyzing individual text and complete CSV datasets.

• Positive, Neutral & Negative classification
• Single-text sentiment analysis
• Batch CSV processing
• Sentiment confidence scores
• Polarity analysis
• Interactive visualizations
• Persistent analysis history
• Downloadable analyzed datasets

Tech Stack: Python Streamlit VADER Pandas Matplotlib

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An interactive business analytics dashboard designed to transform raw sales data into useful business insights.

• Business KPI dashboard
• Revenue & profit analysis
• Date-range filtering
• Region, category & product filters
• Interactive Plotly charts
• Product profitability analysis
• Automatic business insights
• CSV upload support
• Filtered report export

Tech Stack: Python Streamlit Pandas Plotly

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A web-based Personal Expense Tracker and Budget Management System for recording, categorizing, analyzing, and reporting personal expenses.

• Add and delete expenses
• Expense categorization
• Dashboard analytics
• Category-wise visualization
• Interactive charts
• CSV report generation
• PDF report generation
• Dark mode
• SQLite database

Tech Stack: Python Flask SQLite HTML CSS JavaScript Chart.js

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A data analytics project focused on extracting useful business insights from e-commerce sales data.

• Sales performance
• Revenue analysis
• Product performance
• Customer analysis
• Business trends
• Data visualization

Tech Stack: Python Pandas Matplotlib Jupyter Notebook

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Developed multiple practical Python applications covering different areas of software development.

These projects provided hands-on experience with:

Python Development • GUI Development • Databases • Encryption • NLP • Data Analytics • Visualization • Git & GitHub

Worked on Python programming tasks designed around practical programming concepts and automation.

• 🤖 Basic Chatbot
• 📧 Email Extractor
• 📈 Stock Portfolio Tracker

🔗 View Internship Repository

• 🐍 Advanced Python Development
• 🤖 AI-powered application development
• 🔎 Semantic Search & Retrieval
• 🧠 Multimodal AI
• 🗄️ SQL
• 🌐 Web Application Development
• 🔧 Git & GitHub
• 🏗️ Building practical and production-oriented applications

My current focus is on strengthening my software-development foundation through practical projects and real-world experience.

I'm particularly interested in opportunities involving:

• 💻 Software Development
• 🐍 Python Development
• 🤖 AI-powered Applications
• 🌐 Web Development
• 📊 Data Analytics

Python • Java • C • SQL • Flask • Streamlit • Ollama • Qwen2.5-VL • FAISS • Sentence Transformers • Tkinter • SQLite • Pandas • Matplotlib • Plotly • NLP • Git • GitHub

I'm open to connecting with developers, students, recruiters, and professionals interested in software development, Python, AI, data, and practical applications.

💡 Learning by building. Improving with every project.

Thanks for visiting my GitHub profile! 🚀