Project Details

Detailed explanation of architecture, implementation, and outcomes for each major project.

AI Student Assistant Chatbot

A full-stack AI assistant that answers student questions using uploaded academic documents with retrieval-augmented generation.

What it does

• Lets users upload PDF/DOCX/TXT files and ask natural language questions.
• Searches document chunks using semantic similarity, then answers with contextual evidence.
• Maintains conversation history for follow-up questions.

How it is built

• Frontend in React for chat UI, file upload flow, and session control.
• Backend in Node.js/Express for orchestration and API endpoints.
• RAG workflow with LangChain to split, embed, index, and retrieve content.
• MongoDB for user/session metadata and chat history.

Tech Stack: React, Node.js, Express, MongoDB, LangChain, Python, OpenAI/Gemini APIs

GitHub Repository

🌐 Live link

DDoS Detection System (SDN + ML)

An ML-based intrusion detection workflow to identify suspicious traffic patterns and potential DDoS events.

What it does

• Processes network traffic features and classifies normal vs. malicious behavior.
• Generates interpretable output for model behavior and detection quality.

How it is built

• Data preprocessing and feature engineering with Pandas/NumPy.
• Training and evaluation using Scikit-learn classification models.
• Visualization with Matplotlib for distribution and detection insights.

Tech Stack: Python, Scikit-learn, Pandas, NumPy, Matplotlib

GitHub Repository

AI-Powered Document Verification System

A verification platform that analyzes uploaded identity/certificate documents and detects inconsistencies.

What it does

• Extracts text from document images using OCR.
• Compares extracted fields against user-provided data.
• Flags mismatches and possible tampering patterns.

How it is built

• Flask app for upload/verification routes and admin workflow.
• OpenCV preprocessing for better OCR quality.
• Tesseract OCR for text extraction from scanned images.
• MongoDB for document records, statuses, and audit-like tracking.

Tech Stack: Python, Flask, OpenCV, Tesseract OCR, MongoDB

GitHub Repository

Weather Mobile Application

A cross-platform Flutter app delivering real-time weather, hourly forecasts, and weekly forecast data.

What it does

• Fetches weather by current location and city search.
• Shows current conditions, 24-hour forecast, and multi-day trend.
• Handles loading/error states for smoother user experience.

How it is built

• Flutter UI with responsive layouts and Material components.
• REST API integration with async network calls and JSON parsing.
• State management for data flow and UI synchronization.
• Basic caching/offline strategy for better reliability.

Tech Stack: Flutter, Dart, REST API, Provider/BLoC concepts, Geolocation

GitHub Repository

Download App