### About 1. **Full Name:** PADALA SAISRISATYA SUBRAMANESWAR 2. **Contact Info:** - Email: [saisreesatyassss@gmail.com](mailto:saisreesatyassss@gmail.com) - Phone: 7842446454 3. **Discord Handle:** pssss7656 4. **Home Page:** [saisreesatya-blog.pages.dev](https://saisreesatya-blog.pages.dev/) 5. **Blog:** [saisreesatya-blog.pages.dev](https://saisreesatya-blog.pages.dev/) 6. **GitHub Profile:** [github.com/saisreesatyassss](https://github.com/saisreesatyassss) 7. **Socials:** - Portfolio: [http://saisreesatya.xyz/](http://saisreesatya.xyz/) - LinkedIn: [linkedin.com/in/saisreesatyassss](https://www.linkedin.com/in/saisreesatyassss) - Twitter: [x.com/saisreesatya000](https://x.com/saisreesatya000) 8. **Time Zone:** India Standard Time (IST) 9. **Resume:** [CV (PDF)](https://saisreesatyassss.github.io/CV/cv.pdf) ### University Info 1. **University Name:** VIT AP 2. **Program:** CSE - AIML 3. **Year of Joining:** 2021 4. **Expected Graduation:** 2025 --- ### **Motivation & Past Experience** 1. **Have you worked on or contributed to a FOSS project before?** Yes, I have contributed to various open-source projects, including API Dash. You can check out my PR here: [PR #727](https://github.com/foss42/apidash/pull/727). In this pull request, I have detailed all the work I have done, along with videos. Please check it out! 2. **What is one project/achievement you are most proud of? Why?** I have worked with multiple startups and started my first job in my second year as a Flutter developer. Over time, I learned backend and frontend development and built more than 20 web apps and some AI models. One project that I am really proud of is **Mukham App**, which my team and I built. It completely changed how the attendance system worked in our college for teachers. We used geo-fencing and facial recognition, which helped streamline attendance tracking across the entire college. 3. **What kind of problems or challenges motivate you the most to solve them?** I love solving complex backend and UI/UX challenges, especially those involving API integrations, data visualization, and automation. More than that, I like working on innovative challenges—things that no one has ever tried before. If I get an idea, I just want to build it and see where it goes! 4. **Will you be working on GSoC full-time?** Yes, I will be working on GSoC full-time. I am currently in my 4th year, and I don’t have any classes or exams going on, so I am completely free to dedicate my time to this project. 5. **Do you mind regularly syncing up with the project mentors?** No, I am totally fine with regular sync-ups and discussions. It’s actually something I prefer because it helps in making sure everything is on track and moving in the right direction. 6. **What interests you the most about API Dash?** API Dash makes working with APIs really smooth and efficient. The way it helps in testing and documenting APIs is super useful for developers. But the main reason I got interested in API Dash was when I first started looking at GSoC projects. I checked out more than 25 organizations, joined their chats, and looked at their Slack groups. Out of all of them, API Dash stood out the most because the community was **active, helpful, and really engaging**—even when students had small doubts. That kind of support is what I liked the most! 7. **Can you mention some areas where the project can be improved?** - **Better UI/UX for API visualizations.** - **More integrations** with third-party services. - **Refining API documentation generation** (which I have already worked on in my PR). - **Keeping an eye on competitors** like Postman and others—seeing what new features they release and thinking about what we can build and release faster for users. --- ### **Project Proposal Information** 1. **Proposal Title:** DashBot – The AI Assistant for API Dash 2. **Abstract:** API development involves a lot of repetitive tasks—debugging requests, understanding responses, writing documentation, and visualizing data. Developers often spend hours on these, which could be automated. **DashBot** aims to solve this by introducing an **AI-powered assistant** inside API Dash that will **help developers automate tedious tasks, follow best practices, and interact with APIs using natural language.** The goal is to make API workflows **faster, smarter, and more intuitive**, saving developers time and effort. 3. **Detailed Description:** This project will focus on building **DashBot** as a **modular and extensible AI assistant** that seamlessly integrates with API Dash. The main objectives include: - **Explaining API Responses & Debugging Errors** DashBot will analyze API responses, detect issues based on status codes & error messages, and provide actionable insights to fix them. - **Generating API Documentation Automatically** Developers will be able to generate structured and well-formatted API documentation based on request and response data. This will help in keeping docs up-to-date effortlessly. - **Visualizing API Responses with Customizable Charts** DashBot will generate **interactive plots** and **customizable visualizations** to help developers make sense of API data quickly. - **Understanding APIs & Generating Test Cases** Instead of manually writing test cases, DashBot will **analyze API responses** and auto-generate test cases to validate API functionality. - **Improving the API Request Experience** Users will get **auto-suggestions** for API parameters, headers, and request structures to improve efficiency and reduce errors. - **Keeping It Fast & Efficient** The implementation will focus on keeping DashBot **lightweight, responsive, and easy to use** within API Dash without slowing anything down. --- ### Features Implemented #### **1. Multi-Model Selection (Google Maps & Snowflake)** - Added support for selecting multiple models like Google Maps and Snowflake within API Dash. - Enables seamless integration and switching between different models for enhanced flexibility. - Screenshot: ![Multi-Model Selection Screenshot](https://raw.githubusercontent.com/saisreesatyassss/ai_endpoint/refs/heads/main/dash2.jpg) - Video Demonstration: [Multi-Model Selection Demo](#) *(https://drive.google.com/file/d/1vJcrqLwmMukxqWaaDPXI4WUGF7iBQB2q/view?usp=sharing)* #### **2. Debug Requests Based on Status Codes & Error Messages** - Introduced an intelligent debugging system that analyzes API responses. - Provides insights into errors by categorizing them based on status codes and error messages. - Enhances developer productivity by offering suggestions for quick issue resolution. - Screenshot: ![Debugging Feature Screenshot](https://raw.githubusercontent.com/saisreesatyassss/ai_endpoint/refs/heads/main/dash1.jpg) #### **3. Generate API Documentation** - Added functionality to auto-generate API documentation based on request and response structures. - Formats and presents the API details in an easy-to-read manner. - Screenshot: ![API Documentation Screenshot](https://raw.githubusercontent.com/saisreesatyassss/ai_endpoint/refs/heads/main/dash3.jpg) - Video Demonstration: [API Documentation Generation](#) *(https://drive.google.com/file/d/106bYvU0aeMzEE4dj3UGWvX1mDcwrF6I2/view?usp=sharing)* #### **4. Generate Plots & Visualizations for API Responses** - Enables users to visualize API response data through customizable charts and plots. - Supports customization options for better data representation. - Screenshot: ![Visualization Screenshot](https://raw.githubusercontent.com/saisreesatyassss/ai_endpoint/refs/heads/main/dash4.jpg) - Video Demonstration: [API Visualization Demo](#) *(https://drive.google.com/file/d/1eZdwxFqo6sB4IY8ZhrdFAK5PDHLNf4pR/view?usp=sharing)* --- ### **Weekly Timeline** - **Week 1:** Research and finalize improvements for API visualization and debugging. - **Week 2:** Set up project structure and integrate AI-powered response analysis. - **Week 3:** Implement debugging features based on status codes and error messages. - **Week 4:** Develop auto-generation of API documentation. - **Week 5:** Improve customization options for API requests and response formatting. - **Week 6:** Implement interactive visualizations for API responses. - **Week 7:** Optimize performance and ensure smooth integration of DashBot features. - **Week 8:** Conduct testing across different devices and environments. - **Week 9:** Finalize UI/UX improvements and fix any remaining issues. - **Week 10:** Complete documentation, final review with mentors, and submit the project. -Note: This is a tentative timeline based on my initial thoughts. The plan may evolve based on discussions with mentors and project requirements.