class Leela:
    studying   = "Computer Science"
    into       = ["AI apps", "backend", "open source"]
    learns_by  = "building it, breaking it, fixing it"
    contributor = "GirlScript Summer of Code 2026"
    interning  = "Data Analytics @ Excelerate"
    status     = "still working on a few unfinished repos"

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🛠️ Things I've built

Project	What it does	Built with
InvestIQ	An investment advisor combining an ML model, a Gemini chatbot and live market data. I got hooked on why it recommends something, which led me to explainable AI.	ML · Gemini · market data
Crowd Risk System	Watches crowd density in real time from IoT sensor data and flags when a place is getting unsafe.	IoT · AI analytics
Multi Source Research Agent	A web research agent that uses multiple search providers and an LLM to answer research questions using retrieved source evidence. Python	FastAPI
DocuAgent	Hackathon project. Instead of just generating docs, it maps how a big codebase fits together.	CrewAI

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🤝 Open source

Reading other people's code and getting review comments on my PRs has taught me more than any tutorial.

• AI-dev-assistant: [one line on what you fixed or added]
• SahiDawa: [one line on what you fixed or added]. It's a platform for checking whether medicines are genuine, built for slow connections and many languages.

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🗺️ How I got here

timeline
    title Leela, so far
    2025 : First Python projects
         : Machine Learning and data analysis
         : Started building beyond tutorials
    2026 : First hackathons
         : Selected for GirlScript Summer of Code
         : Joined the Excelerate Data Analytics Internship
    Next : Stronger backend work
         : More consistent open source
         : Better at DSA

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🧰 What I use

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📊 The numbers

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📫 Lets Connect

I don't aim to know everything. I just try not to get stuck twice on the same problem.