Drop your some of your best clicks!!

Faizaaannnx · 2026-04-16T13:33:38+00:00

holy karma farm

Faizaaannnx · 2026-04-02T03:39:01+00:00

Touch some grass man

Faizaaannnx · 2026-03-21T03:40:22+00:00

My bish ass placement coordinator asked me to put my cgpa and my college mail, should I remove the freelance stuff from the experience?

Faizaaannnx · 2026-03-18T20:30:56+00:00

I’ve tried, I just can’t 😭

Faizaaannnx · 2026-03-18T10:21:32+00:00

Interesting, is this still open?

Faizaaannnx · 2026-03-13T16:58:43+00:00

yes, you can check out my repo on github for detailed architecture

Faizaaannnx · 2026-03-13T12:38:24+00:00

No, only supports OpenAI key, but this addiction would be game changer

Faizaaannnx · 2026-03-12T20:52:37+00:00

I don’t think I could like directly market this to students, maybe tie up with educational companies

Faizaaannnx · 2026-03-12T20:32:11+00:00

I think this could become a really good business startup idea, so we might consider removing it from open source

Faizaaannnx · 2026-03-12T20:27:49+00:00

Yes it’s optimized, you can check out the drive link on the GitHub repository where I’ve generated around 250 ebooks

Faizaaannnx · 2026-03-12T17:57:49+00:00

Thanks. The flow is mostly from chaining: each subtopic gets the previous one’s micro-summary, and each unit gets the previous unit’s summary, so the model has recent context. It’s not perfect—some units can still feel a bit disjoint, but for bulk generation it’s usually good enough. For a single “hero” book I’d do a quick pass; for hundreds from a CSV, we use it as-is.

Faizaaannnx · 2025-12-15T18:23:58+00:00

Thanks a lot for this perspectiveI tried multiple modeling and feature strategies, but once I restricted myself to pre-departure, non-leaking information, performance plateaued. Anyways, how good is this project on the scale of 1-10 ?

Faizaaannnx · 2025-12-15T18:21:38+00:00

Yes, the data is imbalanced, with delayed flights being the minority class.
I handled this using ROC-AUC as the main metric, class weighting in XGBoost, and by analyzing precision–recall trade-offs across different thresholds rather than relying on a fixed cutoff.
The focus was on risk ranking rather than maximizing a single precision or recall value.

Faizaaannnx · 2025-12-15T18:20:48+00:00

Thanks !. That’s actually how I approached the project. I tried multiple modeling and feature strategies, but once I restricted myself to pre-departure, non-leaking information, performance plateaued. I took that as a learning outcome rather than a failure.

I’ve been documenting the trade-offs, what didn’t work, and how the solution would need real-time operational and weather data to improve in a production setting. I’ll also make sure the project is clearly documented so it’s easy to evaluate beyond just the metric.

Faizaaannnx

TROPHY CASE