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 in the shubhamsaboo/awesome-llm-apps repository. The app combined the Agno agent framework, Grok 4 Fast via OpenRouter for reasoning, E2B for secure code execution, and Firecrawl for web research to guide users through estimating life insurance needs and surfacing policy options. By integrating Python development, API integration, and financial modeling, Gargi enabled end-to-end advisory workflows that accelerate onboarding and improve decision quality. The work demonstrated depth in orchestrating secure compute, agent-based reasoning, and real-time data gathering, laying a foundation for scalable, data-driven insurance product comparisons.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
960
Activity Months1
Your Network
1727 peopleSame Organization
@users.noreply.github.com1701
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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