shubhamsaboo/awesome-llm-apps
Oct 2025 – Oct 2025
1 Month active
Languages Used
MarkdownPythonShell
Technical Skills
API IntegrationAgno Agent FrameworkE2B SandboxFinancial ModelingFirecrawlOpenRouter
Gargi Gupta
PROFILE
Gargi Gupta
Gargi Gupta developed an AI Life Insurance Coverage Advisor as a Streamlit application for the shubhamsaboo/awesome-llm-apps repository. The project integrated the Agno agent framework with Grok 4 Fast via OpenRouter for advanced reasoning, E2B for secure code execution, and Firecrawl for real-time web research on insurance products. Using Python and API integration, Gargi designed a guided intake flow that estimates users’ life insurance needs and presents tailored policy options. This end-to-end solution accelerated customer onboarding and improved decision quality by combining secure computation, financial modeling, and web research, establishing a scalable foundation for future policy comparison features.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
960
Activity Months1
Your Network
3444 peopleSame Organization
@users.noreply.github.com3417
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Key feature delivered: AI Life Insurance Coverage Advisor Streamlit app in shubhamsaboo/awesome-llm-apps. The app uses the Agno agent framework with Grok 4 Fast via OpenRouter for reasoning, E2B for secure code execution and calculations, and Firecrawl for web research on insurance products. It guides users through a minimal intake form to estimate life insurance needs and presents policy options, enabling faster, data-driven guidance for customers. Major bugs fixed: None reported this period. Overall impact: Introduced end-to-end AI-assisted advisory capability that accelerates onboarding, improves decision quality, and broadens product coverage; lays groundwork for scalable policy comparison and tailored recommendations. Technologies/skills demonstrated: Streamlit, Agno agent framework, Grok 4 Fast/OpenRouter, E2B secure execution, Firecrawl web research, secure compute and policy reasoning integration, Git-based release discipline.
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Key feature delivered: AI Life Insurance Coverage Advisor Streamlit app in shubhamsaboo/awesome-llm-apps. The app uses the Agno agent framework with Grok 4 Fast via OpenRouter for reasoning, E2B for secure code execution and calculations, and Firecrawl for web research on insurance products. It guides users through a minimal intake form to estimate life insurance needs and presents policy options, enabling faster, data-driven guidance for customers. Major bugs fixed: None reported this period. Overall impact: Introduced end-to-end AI-assisted advisory capability that accelerates onboarding, improves decision quality, and broadens product coverage; lays groundwork for scalable policy comparison and tailored recommendations. Technologies/skills demonstrated: Streamlit, Agno agent framework, Grok 4 Fast/OpenRouter, E2B secure execution, Firecrawl web research, secure compute and policy reasoning integration, Git-based release discipline.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage100.0%
Skills & Technologies
Programming Languages
MarkdownPythonShell
Technical Skills
API IntegrationAgno Agent FrameworkE2B SandboxFinancial ModelingFirecrawlOpenRouterPython DevelopmentStreamlit
Repositories Contributed To
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