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---
title: "DMP ’25 Week 3 Update by Aman Naik"
excerpt: "This week's focus was developing a working demo for the Story Builder feature using Streamlit and gathering mentor feedback for further improvements."
category: "DEVELOPER NEWS"
date: "2025-06-21"
slug: "2025-06-21-dmp-25-AmanNaik-week03"
author: "@/constants/MarkdownFiles/authors/amannaik247.md"
tags: "dmp25,writeactivity,write,sugarlabs,week03,amannaik247"
image: "assets/Images/c4gt_DMP.png"
---

<!-- markdownlint-disable -->

# Week 3 Progress Report by Aman Naik

**Project:** [Add an AI-assistant to the Write Activity](https://github.com/sugarlabs/write-activity/issues/52)
**Mentors:** [Walter Bender](https://github.com/walterbender), [Ibiam Chihurumnaya](https://github.com/chimosky)
**Reporting Period:** 2025-06-16 – 2025-06-21

---

## Goals for This Week

- **Goal 1:** Develop a working demo of the Story Builder feature
- **Goal 2:** Implement the demo using Streamlit
- **Goal 3:** Gather feedback from mentors and plan improvements

---

## This Week’s Achievements

1. **Developed a Demo of the Story Builder Feature**
- Created a functional web application using Streamlit to demonstrate how the story builder AI guides students through storytelling. The demo mimics the question-and-answer-based flow and simulates an AI companion.
- Find the demo [here](https://story-builder-ai.streamlit.app/)

![Chat responses](assets/Images/aman-naik-week3-img1.png)

![Framework built using the chat messages](assets/Images/aman-naik-week3-img2.png)

2. **Presented the Demo to Mentors**
- Shared the working version with my mentors. I received positive feedback and valuable suggestions on what could be improved and how the feature can be enhanced with new ideas.

---

## Challenges & How I Overcame Them

- **Challenge:** Designing a feedback loop where the AI accumulates all context from the student’s responses
**Solution:** After repeated iterations and research, I realized that assigning a distinct personality to the LLM helps it collect and remember context more naturally. This personality-driven approach ensures a more engaging and coherent interaction throughout the story-building process.

---

## Key Learnings

**Built and Deployed a Streamlit Demo to Simulate Story Interaction**
- Gained practical experience in using Streamlit to build and deploy web apps that demonstrate AI interaction flow for educational use cases.

**Learned the Importance of AI Personality in Context Retention**
- Discovered that crafting an AI assistant with a personality improves its ability to retain context and makes the storytelling experience more relatable and fun for children.

---

## Next Week’s Roadmap

- Begin fine-tuning a language model using AWS
- Build a system where the AI recommends books similar to the student's story at the end of the conversation

---

## Acknowledgments

Thank you to my mentors, the Sugar Labs community, and fellow contributors for their continuous guidance and valuable feedback!

---