Upload Project.txt

Project.txt

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+This File is a summary of AthulKrishna's Projects.
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+Project 1:
+name:System Metrics Dashboard
+
+A sleek, interactive web dashboard built with **React** and **Recharts** for monitoring real-time system performance metrics like CPU usage, memory stats, and custom metric tracking. Designed to be modular, responsive, and easily integrable with various backend data sources.
+
+---
+
+ Features
+
+- 📊 **Live Charts**: Bar, Line, and Gauge charts powered by Recharts.
+- 🧠 **Context API**: Global state management for metrics using `MetricsContext`.
+- 🧩 **Modular Components**: Drop-in-ready visual components for easy scaling.
+- 🎯 **Overview Navigation**: One-click access to the main dashboard.
+- ⚙️ **Custom Hook Support**: `useSystemMetrics()` for reactive metric consumption.
+
+---
+
+ 🛠️ Tech Stack
+
+| Layer       | Tech                    |
+|-------------|-------------------------|
+| Frontend    | React.js,  CSS  |
+| Charts      | Recharts                |
+| State Mgmt  | React Context API       |
+| Backend     | GoLang, MongoDB         |
+
+---
+
+Project 2:
+name: Trip Planner Agent Workflow
+
+Built with CrewAI Plan your perfect getaway with the power of AI agents working in synergy! This intelligent workflow features specialized agents that collaborate to design a smart, data-driven, and personalized 7-day travel itinerary.
+
+Project Overview
+
+This project leverages multiple autonomous agents to plan a trip from scratch. Each agent has a clearly defined role and utilizes real-time tools to gather information and make decisions.
+
+Agents in Action
+
+Expert Travel Agent Designs a detailed 7-day travel itinerary including:
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+Per-day plans
+Estimated budget
+Packing suggestions
+Safety tips Powered by GPT-4 + Tools (Search, Calculator)
+City Selection Expert Analyzes travel trends, weather, seasonality, pricing, and preferences to select the best city for travel. Powered by GPT-4 + Web Search
+
+Local Tour Guide Acts as your on-ground AI guide with detailed insights into the chosen city’s:
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+Attractions
+Local customs
+Hidden gems Powered by GPT-4 + Web Search
+Tech Stack
+
+CrewAI — Multi-agent framework
+OpenAI GPT-3.5 & GPT-4 — Natural language agents
+SearchTools — To fetch real-time web data
+CalculatorTools — To calculate trip budgets
+Python 3.10+
+
+
+Project 3:
+Name: GeoRisk AI
+
+Overview
+
+This project is a demonstrating a multi-agent system that leverages IBM watsonx.ai and Retrieval-Augmented Generation (RAG) to provide climate-aware risk analysis for business risk.
+It enables businesses to make informed decisions by assessing weather risks and historical climate data relevant to key supply chain points.
+
+Features
+
+Multi-agent architecture with specialized agents for:
+Location intelligence
+Climate data retrieval
+Business risk analysis
+Orchestrator agent to coordinate tasks
+IBM watsonx.ai for advanced AI-driven chat and recommendations
+RAG (Retrieval-Augmented Generation) to use historical climate and location data
+Interactive web interface:
+Chat panel for weather queries and supply chain risk advice
+Map component for selecting global locations
+Backend API to manage communication between frontend and agents
+Tech Stack
+
+Frontend: React.js
+Backend: Flask
+AI & NLP: IBM watsonx.ai
+Data Retrieval: RAG framework
+Map Integration: React map component with location picker
+HTTP Client: Axios
+
+
+project 4:
+Name: Ai-Conversation
+
+🤖 GPT vs LLaMA: The Chatbot Showdown
+
+A fun Python project where GPT-4o-mini (snarky and argumentative) and LLaMA 3 via Groq (polite and diplomatic) engage in a back-and-forth conversation. Think of it as a polite librarian chatting with an overly caffeinated debate club member.
+
+
+project 5:
+name: Webscraping using BeautifulSoup
+
+A simple yet powerful Python project that demonstrates web scraping using BeautifulSoup. This project showcases how to extract useful information from websites like quotes, news, products, or custom data — turning unstructured web content into structured data.
+
+Features:
+
+Scrapes data from static web pages
+Parses HTML content using BeautifulSoup
+Supports CSV/JSON export of scraped data
+Clean and modular codebase
+Customizable scraping logic
+
+Requirements:
+
+Python 3.7+
+requests
+beautifulsoup4
+
+Project 6:
+name: Mandt - E-commerce Perfume Store
+
+Welcome to Mandt, a full-stack e-commerce application designed for perfume enthusiasts! This website allows users to browse and purchase a variety of perfumes for men, women, and unisex. Built with React.js for the frontend and Node.js with Express.js for the backend, Mandt leverages MySQL for efficient database storage.
+
+Features
+
+User-Friendly Interface: Browse through an extensive collection of perfumes with ease.
+Product Selection: Choose from a variety of options tailored for men, women, and unisex fragrances.
+Secure Ordering: Place your orders securely through our streamlined checkout process.
+Responsive Design: Fully responsive design ensures a seamless experience on all devices.
+Tech Stack
+
+Frontend: React.js
+Backend: Node.js, Express.js
+Database: MySQL
+
+project 7:
+name:Verdicta - AI Legal Assistant
+
+Verdicta is an advanced AI-powered legal assistant designed to assist with document analysis, contract review, legal research, and compliance checking. It integrates NLP, machine learning, and deep learning techniques to provide customized legal insights. 🚀
+
+Features:
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+Chatbot Interface: Ask legal questions and receive AI-generated responses.
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+PDF & Image Upload: Extracts and analyzes text from legal documents.
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+RAG-based Search: Retrieves relevant legal documents for context-aware answers.
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+Emotion Recognition: Understands user emotions for better interaction.
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+Local & Secure: Runs LLaMA 3 locally on a Lenovo Legion laptop for privacy.
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+ Tech Stack
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+Frontend: React, Vite, React Markdown
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+Backend: Python, Flask, LLaMA 3, ChromaDB
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+Libraries: pdf.js, Tesseract.js, OpenAI API (Groq)
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+ Installation
+
+Prerequisites
+
+Node.js & npm
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+Python 3.x
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+Setup Instructions
+
+Clone the repository
+
+Install frontend dependencies
+
+Install backend dependencies
+
+Start the backend server
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+Start the frontend server
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+Access the app at http://localhost:3000
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+ API Endpoints
+
+POST /query
+
+Description: Processes user questions and returns AI-generated legal responses.
+
+Request: JSON containing the user query.
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+Response: AI-generated legal answer.
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+ Contributing
+
+We welcome contributions! Feel free to fork, submit pull requests, and open issues.
+
+ License
+
+MIT License
+
+ Authors
+
+Athul - RAG Specialist & Project Lead