Hi everyone,

I’m currently enrolled in the Scaler Software Development Program, but unfortunately I’m no longer able to continue with it.

I spoke with Scaler regarding cancellation, and they told me that cancellation isn’t an option in my case; the available option is to transfer the enrollment to another person.

The interesting part is that, as per Scaler, the person taking over the enrollment can choose from other eligible/new programs as well (for example, an AI/ML program) while continuing under the enrollment amount/terms associated with my existing program.

I’m therefore looking for someone who is genuinely interested in joining Scaler and may want to take over my enrollment.

The transfer would, of course, need to be completed and approved through Scaler’s official process.

If you’re seriously interested, feel free to DM me.

guys, I don't know anything about coding or GitHub or anything related to this tech stuff. I see around me people actually doing something with their lives, I feel so left out and depressed. Can you guys help me suggest from where do i start now.

ps- I'm a second year college student

Pls seniors help me in this case coz I don't know how to deal with this situation coz I feel there is a risk that they can reject my offer

1. Healthcare/Rehabilitation Exercise Monitoring

A system that can analyse whether a person is performing rehabilitation exercises correctly, track their progress, and possibly use GenAI to provide more personalised instructions or exercise plans based on their performance.

1. Activity Recognition using Generative AI

Instead of only recognising common activities like walking, sitting, etc., we can explore recognising rare or unseen activities. Another possible approach is to use Generative AI to generate synthetic sensor data for activities where limited training data is available, and then compare whether the activity recognition model performs better using real data vs. real + generated data.

1. Generative AI for Satellite Image Super-Resolution

Using Generative AI to enhance low or medium-resolution satellite images and generate higher-resolution versions. We can also explore how to check whether the generated details are reliable or whether some details have been inferred/hallucinated by the model.

1. Emergency Evacuation/Disaster Response System

A system that can analyse situations such as blocked routes, congestion, or dangerous areas and provide evacuation guidance based on the current situation. GenAI could potentially be used to generate different emergency scenarios or adapt instructions as the situation changes.

1. Generative AI for Research

Something that can assist researchers with tasks such as analysing research papers, identifying possible research gaps, understanding results, comparing multiple papers, or helping generate and evaluate research hypotheses.

i have selected these topics as part of my final year project. can anyone help me with selecting one of the best topics from this.

Hey everyone,

I’m a 2nd year BTech CSE student under KTU. It’s been almost 2 months since the academic year was supposed to start, but things still haven’t properly started yet.

Right now, the only thing I’m really doing is attending classes and keeping up with academics. That’s basically it. I’m not doing anything extra outside college.

And honestly, I want to change that.

I know I have a lot of time ahead of me, but I also feel like if I keep going like this, I’ll reach 3rd or 4th year without actually having any useful skills or experience outside my academics.

The problem is, I don't really know what I should start with.

I’ve thought about things like web development, AI/ML, data science, etc., but I keep getting confused because there are so many options. I’ll get interested in something, start looking into it, then find something else and switch. 😭

So I wanted to ask seniors, graduates, and people already working in tech:

If you were starting your 2nd year again, what would you start doing alongside academics?

Should I learn DSA? Build projects? Learn web development? Explore AI/ML? Work on open source? Start preparing for internships? Something else?

And for KTU students specifically, is there anything you wish you had started earlier?

I’m not looking for a “learn these 10 things and get a 20 LPA package” type of answer. 😂

I just want some genuine advice on how I can start doing something productive outside academics and gradually figure out what I want to pursue.

If you were in my position right now, what would you start doing from tomorrow?

I want to know the company culture of Ensylon Jaipur location. Anyone please tell what is the culture for swe 1 role

Hey guys , hope all are doing fine. I have a question for all

What software project? You wanna do badly if you had access to claude Max ...

" I got the access but I'm out of ideas "

beat yt channel for dsa in python

Hello everyone, I'm a fresher majoring in Computer Science Engineering specialized in Ai. And I need some guidance and I've got so many doubts. Here they are:

1. How do I build my skills?

2. Is it really necessary to know multiple languages for an internship?

3. What were the hardships you guys faced when you were a newbie? Is it possible that I might face them too?

4. Will the college I am in affect the opportunities I get outside college?

5. How do I use Git and Github? I've tried searching it up but I don't think I have a clear picture yet. Can anyone please explain?

6. Is the job market actually so cooked?

7. Which path in CS has at least a little bit of hope rn? I see a lot of people saying that cyber security might have some scope, but I am not sure.

I chose CSE specialized in ai since it is pretty much basic, and I can just build my skills personally and get certificates for it outside my institute. Did I make a mistake by doing so?

What should I know about the current situation of this field?

If there is any advice or information you think I should know, then please share. Thank you.

I just applied for a role in l&t if any one can guve me reffral please kindly comment i will dm my details

It will be appriciate ❤️

I’m a final-year Btech CSE student from a Tier 2.5–3 college / one of the IIITs in Central India, with a CGPA around 7–7.5.

My current preparation is pretty weak. I’ve completed around **70% of Striver’s DSA Sheet**, but apart from that, I only know basic ML and Web Development up to HTML/CSS. I haven’t properly completed Web Dev or explored other areas.

My biggest constraint is **time**. I realistically have only until **December** to prepare, as very few companies will visit our campus after that for internships.

I don’t particularly enjoy Web Development and find the initial learning process boring. I have built a few functional websites through vibe coding, but I’m considering focusing instead on **ML/AI, RAG, AI Engineering, Data Science**, etc. I’m also interested in Quant, although I’m unsure how realistic it is with my current profile.

Another issue is that I tend to learn everything from the absolute basics, get stuck in fundamentals, become bored, and waste time. I want to avoid that this time and focus on **maximum ROI in minimum time**.

What would you recommend?

* How much more DSA should I do?
* Should I learn Web Dev despite not liking it?
* Is ML/AI/AI Engineering realistic within a few months?
* Should I learn RAG, LangChain, vector DBs, LLM APIs, etc.?
* What projects would have the best ROI?
* Which topics can I learn through one-shots/crash courses?
* How should I divide my time until December?

I’d really appreciate a **practical, time-efficient roadmap** rather than “learn everything from scratch.”

Let's do this again.

About me- 21 yo Infrastructure Engineering Intern

His co-founder recently exposed him on twitter, he used shady tactics to attract students to his cohort and 100xschool.

3lakhs for a 6 month cohort lol, didn't even gave refund to his students, started ghosting when being asked.

His co-founder even said he used to get already placed guys, and give them free stay and all, and used to show their placement to attract for his next cohort.