u/MeanMasterpiece5438

Hey everyone,

I've got a budget of around ₹400–500 for this Steam Summer Sale and I'm trying to get the best value.

I'm currently thinking of buying:

• The Witcher 3
• Batman: Arkham Collection

I mainly enjoy games with:

• Good story
• Adventure
• Dark atmosphere
• Action
• Some shooting (not mandatory)
• Open-world is a bonus

I've already looked at games like Far Cry 4 and Watch Dogs 2, but I'm not sure if there are better options in this price range.

Would you stick with The Witcher 3 + Batman: Arkham Collection, or would you recommend a different combination under ₹400–500?

Thanks!

i have been applying on Internshala
and this message i got from three different companies
is this legit?

https://preview.redd.it/blb8lght3b5h1.png?width=632&format=png&auto=webp&s=d8b3ea60d741a3a254589c56615b9e9a53a787e0

https://preview.redd.it/vhgm54ofuu4h1.png?width=684&format=png&auto=webp&s=0ce66ff43c22020d5de0a701a5758d458cb47964

Hi everyone,

I’ve put together my CV and I’d really appreciate some honest feedback. I want to know:

• What looks good and stands out
• What feels weak or could be improved
• Any suggestions on formatting, clarity, or overall presentation

I’m aiming to make it recruiter‑friendly and professional.

Thanks in advance for taking the time to review!

https://preview.redd.it/kochuys3uu4h1.png?width=684&format=png&auto=webp&s=34e9a2d0f325a5b8979a2d6f9a49a840ef23ca38

Hi everyone,

I’ve put together my CV and I’d really appreciate some honest feedback. I want to know:

• What looks good and stands out
• What feels weak or could be improved
• Any suggestions on formatting, clarity, or overall presentation

I’m aiming to make it recruiter‑friendly and professional.

Thanks in advance for taking the time to review!

Hey everyone, I'm currently looking for internships and have been using the usual suspects — LinkedIn, Glassdoor, and Internshala. But my search feels a bit limited and I'm wondering if I'm missing out on better sources.

A few things I'm curious about:

• Are there platforms you've had actual success with (as in, you applied and heard back)?
• Any niche or underrated sites worth checking out?
• Does cold emailing companies actually work or is it a waste of time?
• Any tips for finding internships that aren't publicly listed?

Also — side question — Internshala has a ton of listings compared to other platforms. Is that a good thing or does it mean there's a lot of low-quality/fake postings mixed in? Would love to hear from people who've actually landed something through there.

Appreciate any advice, feeling a bit lost in the process honestly.

Hey everyone, I'm currently looking for internships and have been using the usual suspects — LinkedIn, Glassdoor, and Internshala. But my search feels a bit limited and I'm wondering if I'm missing out on better sources.

A few things I'm curious about:

• Are there platforms you've had actual success with (as in, you applied and heard back)?
• Any niche or underrated sites worth checking out?
• Does cold emailing companies actually work or is it a waste of time?
• Any tips for finding internships that aren't publicly listed?

Also — side question — Internshala has a ton of listings compared to other platforms. Is that a good thing or does it mean there's a lot of low-quality/fake postings mixed in? Would love to hear from people who've actually landed something through there.

Appreciate any advice, feeling a bit lost in the process honestly.

Hey everyone. Long post but I genuinely need some real advice, not just "bhai CAT crack karo" type generic answers.

My background:

• Currently in Sem 6, Computer Engineering from a tier-4 Mumbai University affiliated college
• CGPA: ~6.0 (MU format) — roughly 55% by MU's own conversion formula
• 10th: 89% (2020), 12th: 73% (2022) — was preparing for NEET that time, had Bio/Chem/Phy/Psychology, no Maths
• Took a drop year, gave NEET + MHTCET 2023, didn't clear either
• Took Maths boards separately in 2023 as backup — scored 45/100
• Ended up in current CE college via MHTCET
• Category: General, Engineering, Male (GEM — I know, worst category for MBA)
• Maharashtra student — aware of MAH-CET and JBIMS

What I'm thinking: I want to go directly for MBA after graduation — no work experience gap. Planning to write CAT 2026 (November), XAT 2027 (January), SNAP 2026 (December), NMAT 2026 (October), and MAH-CET 2027 (March). Targeting admission in June/July 2027 batch.

I know IIM A/B/C are out of the picture. I'm being realistic. But I genuinely want to know if colleges like XLRI HRM, NMIMS Mumbai, SIBM Pune, IMT Ghaziabad, Great Lakes, IIT Roorkee/Madras MBA, or newer IIMs are even possible with my profile — or am I just wasting 1.5 years of prep time?

My specific questions:

1. Is GEM + ~55%(~6 cgpa) + tier-4 + fresher a profile that can realistically get into a decent MBA college with a strong CAT score?
2. Many colleges have 60% eligibility — does MU's CGPA-based calculation (raw 6.0+ CGPA) help bypass the percentage issue at some places?
3. Is my NEET-drop background a negative in GD-PI or can it actually be framed well?
4. Anyone from a similar background (tier-4, low CGPA, GEM) who made it through — what percentile did you get and where did you land?
5. Honest ROI question — is a 15–18L MBA loan worth it for the colleges realistically accessible to me?

Not looking for motivation. Looking for ground reality. If the answer is "bro just work for 2 years first" then tell me that too — I'd rather know now than after wasting time. Thanks in advance.

Hey everyone. Long post but I genuinely need some real advice, not just "bhai CAT crack karo" type generic answers.

My background:

• Currently in Sem 6, Computer Engineering from a tier-4 Mumbai University affiliated college
• CGPA: ~6.0 (MU format) — roughly 55% by MU's own conversion formula
• 10th: 89% (2020), 12th: 73% (2022) — was preparing for NEET that time, had Bio/Chem/Phy/Psychology, no Maths
• Took a drop year, gave NEET + MHTCET 2023, didn't clear either
• Took Maths boards separately in 2023 as backup — scored 45/100
• Ended up in current CE college via MHTCET
• Category: General, Engineering, Male (GEM — I know, worst category for MBA)
• Maharashtra student — aware of MAH-CET and JBIMS

What I'm thinking: I want to go directly for MBA after graduation — no work experience gap. Planning to write CAT 2026 (November), XAT 2027 (January), SNAP 2026 (December), NMAT 2026 (October), and MAH-CET 2027 (March). Targeting admission in June/July 2027 batch.

I know IIM A/B/C are out of the picture. I'm being realistic. But I genuinely want to know if colleges like XLRI HRM, NMIMS Mumbai, SIBM Pune, IMT Ghaziabad, Great Lakes, IIT Roorkee/Madras MBA, or newer IIMs are even possible with my profile — or am I just wasting 1.5 years of prep time?

My specific questions:

1. Is GEM + ~55%(~6 cgpa) + tier-4 + fresher a profile that can realistically get into a decent MBA college with a strong CAT score?
2. Many colleges have 60% eligibility — does MU's CGPA-based calculation (raw 6.0+ CGPA) help bypass the percentage issue at some places?
3. Is my NEET-drop background a negative in GD-PI or can it actually be framed well?
4. Anyone from a similar background (tier-4, low CGPA, GEM) who made it through — what percentile did you get and where did you land?
5. Honest ROI question — is a 15–18L MBA loan worth it for the colleges realistically accessible to me?

Not looking for motivation. Looking for ground reality. If the answer is "bro just work for 2 years first" then tell me that too — I'd rather know now than after wasting time. Thanks in advance.

Hey everyone. Long post but I genuinely need some real advice, not just "bhai CAT crack karo" type generic answers.

My background:

• Currently in Sem 6, Computer Engineering from a tier-4 Mumbai University affiliated college
• CGPA: ~6.0 (MU format) — roughly 55% by MU's own conversion formula
• 10th: 89% (2020), 12th: 73% (2022) — was preparing for NEET that time, had Bio/Chem/Phy/Psychology, no Maths
• Took a drop year, gave NEET + MHTCET 2023, didn't clear either
• Took Maths boards separately in 2023 as backup — scored 45/100
• Ended up in current CE college via MHTCET
• Category: General, Engineering, Male (GEM — I know, worst category for MBA)
• Maharashtra student — aware of MAH-CET and JBIMS

What I'm thinking: I want to go directly for MBA after graduation — no work experience gap. Planning to write CAT 2026 (November), XAT 2027 (January), SNAP 2026 (December), NMAT 2026 (October), and MAH-CET 2027 (March). Targeting admission in June/July 2027 batch.

I know IIM A/B/C are out of the picture. I'm being realistic. But I genuinely want to know if colleges like XLRI HRM, NMIMS Mumbai, SIBM Pune, IMT Ghaziabad, Great Lakes, IIT Roorkee/Madras MBA, or newer IIMs are even possible with my profile — or am I just wasting 1.5 years of prep time?

My specific questions:

1. Is GEM + ~55%(~6 cgpa) + tier-4 + fresher a profile that can realistically get into a decent MBA college with a strong CAT score?
2. Many colleges have 60% eligibility — does MU's CGPA-based calculation (raw 6.0+ CGPA) help bypass the percentage issue at some places?
3. Is my NEET-drop background a negative in GD-PI or can it actually be framed well?
4. Anyone from a similar background (tier-4, low CGPA, GEM) who made it through — what percentile did you get and where did you land?
5. Honest ROI question — is a 15–18L MBA loan worth it for the colleges realistically accessible to me?

Not looking for motivation. Looking for ground reality. If the answer is "bro just work for 2 years first" then tell me that too — I'd rather know now than after wasting time. Thanks in advance.

so i was working on project thats a site
i started with claude
because of free tokens it took around 5-6 days
still i havent reached to satisfied product i needed
i am using python and cv heavily on that project

but today i thoght
lets try to improve the code and problems thru chatgpt go
it started giving me million ideas and ways to improve

but but if i am asking the code ,it tones down the system

so how can i proceed if we are making or working on a project currently
how to fully and efficiently use ai chatbots?

Hey, I’m building a project where users upload PDFs and I need to extract text from them.

For normal text PDFs, extraction works fine. But for scanned/image-based PDFs, I’m using Tesseract + some preprocessing.

The problem is:

• Accuracy is inconsistent (especially on low-quality scans)
• Output needs cleanup
• Doesn’t handle structure well (tables, formatting, etc.)

I’ve also looked into Google Vision OCR, but:

• It asks for card details (which is fine, but I’m cautious)
• Free tier is limited
• Not sure if it’s worth depending on it long-term

Right now I’m considering:

• Tesseract (free but weak)
• PaddleOCR (better but more setup)
• Google Vision (accurate but paid eventually)

My goal:

• Build something reliable enough for real users (not just demo-level)
• Keep costs low initially (student project)
• Scale later if needed

Questions:

1. What OCR stack would you recommend for this use case?
2. Is it worth switching to PaddleOCR over Tesseract?
3. For those using Google Vision OCR — how do you manage costs?
4. Any tips for improving OCR accuracy (preprocessing, pipelines, etc.)?

Would appreciate real-world advice instead of just docs.

Thanks.

Hey, I’m building a project where users upload PDFs and I need to extract text from them.

For normal text PDFs, extraction works fine. But for scanned/image-based PDFs, I’m using Tesseract + some preprocessing.

The problem is:

• Accuracy is inconsistent (especially on low-quality scans)
• Output needs cleanup
• Doesn’t handle structure well (tables, formatting, etc.)

I’ve also looked into Google Vision OCR, but:

• It asks for card details (which is fine, but I’m cautious)
• Free tier is limited
• Not sure if it’s worth depending on it long-term

Right now I’m considering:

• Tesseract (free but weak)
• PaddleOCR (better but more setup)
• Google Vision (accurate but paid eventually)

My goal:

• Build something reliable enough for real users (not just demo-level)
• Keep costs low initially (student project)
• Scale later if needed

Questions:

1. What OCR stack would you recommend for this use case?
2. Is it worth switching to PaddleOCR over Tesseract?
3. For those using Google Vision OCR — how do you manage costs?
4. Any tips for improving OCR accuracy (preprocessing, pipelines, etc.)?

Would appreciate real-world advice instead of just docs.

Thanks.

Hey, I’m building a project where users upload PDFs and I need to extract text from them.

For normal text PDFs, extraction works fine. But for scanned/image-based PDFs, I’m using Tesseract + some preprocessing.

The problem is:

• Accuracy is inconsistent (especially on low-quality scans)
• Output needs cleanup
• Doesn’t handle structure well (tables, formatting, etc.)

I’ve also looked into Google Vision OCR, but:

• It asks for card details (which is fine, but I’m cautious)
• Free tier is limited
• Not sure if it’s worth depending on it long-term

Right now I’m considering:

• Tesseract (free but weak)
• PaddleOCR (better but more setup)
• Google Vision (accurate but paid eventually)

My goal:

• Build something reliable enough for real users (not just demo-level)
• Keep costs low initially (student project)
• Scale later if needed

Questions:

1. What OCR stack would you recommend for this use case?
2. Is it worth switching to PaddleOCR over Tesseract?
3. For those using Google Vision OCR — how do you manage costs?
4. Any tips for improving OCR accuracy (preprocessing, pipelines, etc.)?

Would appreciate real-world advice instead of just docs.

Thanks.

Hey, I’m building a project where users upload PDFs and I need to extract text from them.

For normal text PDFs, extraction works fine. But for scanned/image-based PDFs, I’m using Tesseract + some preprocessing.

The problem is:

• Accuracy is inconsistent (especially on low-quality scans)
• Output needs cleanup
• Doesn’t handle structure well (tables, formatting, etc.)

I’ve also looked into Google Vision OCR, but:

• It asks for card details (which is fine, but I’m cautious)
• Free tier is limited
• Not sure if it’s worth depending on it long-term

Right now I’m considering:

• Tesseract (free but weak)
• PaddleOCR (better but more setup)
• Google Vision (accurate but paid eventually)

My goal:

• Build something reliable enough for real users (not just demo-level)
• Keep costs low initially (student project)
• Scale later if needed

Questions:

1. What OCR stack would you recommend for this use case?
2. Is it worth switching to PaddleOCR over Tesseract?
3. For those using Google Vision OCR — how do you manage costs?
4. Any tips for improving OCR accuracy (preprocessing, pipelines, etc.)?

Would appreciate real-world advice instead of just docs.

Thanks.