🚀 BenchCraft AI — AI-Powered API Edge-Case Testing BenchCraft AI is a Generative AI-powered application designed to automate API edge-case testing and response analysis. The application takes an API specification and uses Google Gemini to generate synthetic test payloads covering different edge cases. It then sends the test requests to the authorized API and analyzes the responses. Key Features AI-generated API test cases Boundary and validation testing Missing, null, and incorrect data-type scenarios Special-character and input-validation testing Automated HTTP request execution Response status and response-time analysis Structured test reports CSV result export Tech Stack Python · Streamlit · Google Gemini API · REST APIs · Requests · Pandas Key Concepts Generative AI · API Testing · Test Automation · Edge-Case Testing · Response Analysis · Synthetic Test Generation Workflow API Specification → AI Test Generation → Automated API Testing → Response Analysis → Reporting This project helped me explore how Generative AI can support automated API testing and quality assessment by generating diverse test scenarios and analyzing API behavior.

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🚀 ConnectAI — Model Context Protocol (MCP) Integration Hub ConnectAI is a GenAI application that demonstrates how Model Context Protocol (MCP) can connect an AI model with external tools and enterprise-style data sources. The project uses Google Gemini with an MCP client-server architecture to discover and interact with external tools such as Slack, GitHub, and PostgreSQL. Key Features MCP Client & Server architecture AI-powered tool calling MCP tool discovery External tool integration API communication and handshakes Interactive Streamlit interface Integration of Gemini with external systems Tech Stack Python · Streamlit · Google Gemini API · MCP SDK · Slack · GitHub · PostgreSQL Key Concepts MCP · Tool Calling · Client-Server Architecture · Tool Discovery · LLM Integration · API Integration · GenAI This project helped me understand how MCP can act as a bridge between AI models and external tools, enabling more modular and extensible AI applications.

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🚀 FlexUI AI — Generative UI Dashboard Designer FlexUI AI is a Generative AI-powered dashboard designer that converts natural-language requirements into interactive dashboards. Users can describe what they need in plain English, for example: “Create a sales dashboard showing revenue, orders, monthly trends, regional sales, and top products.” FlexUI AI uses Google Gemini to understand the request and generate a structured JSON dashboard specification, which is dynamically rendered into an interactive Streamlit UI. Key Features Natural language → Dashboard AI-generated JSON UI schema Dynamic KPI cards Interactive Plotly charts Bar, Line, Pie & Scatter charts Dynamic data tables JSON schema preview Tech Stack Python · Streamlit · Google Gemini API · Plotly · Pandas · JSON Concepts Generative UI · Structured Output · Prompt Engineering · LLM Integration · Dynamic UI Rendering · Data Visualization This project demonstrates how Generative AI can go beyond text generation and dynamically drive user interfaces and visualizations.

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Harshala Dhemare

Python | Data Analytics | AI & GenAI Automation