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Hey guys, I don't know what is happening with me. It's like I'm getting bored of reading the past. I'm not able to comprehend them properly and am not able to get the correct answer. My score is reducing terribly day by day instead of improving. As the August SAT is approaching, only a week is remaining.

I even tried to take a break from these studies and get some time out, thinking it was just stress but it's not the case. I've taken the break already for two to three days but still there's nothing. Please help. What should I do? Why is this happening? Can someone please help?

for ivies ofc, title ☝🏻

https://preview.redd.it/bdmt49bg10hh1.png?width=500&format=png&auto=webp&s=3c70ec36c822d4b601e8290cb3efec56ff5a9edf

I encountered a question needing this

The mathematical recalibration reveals a fascinating balancing act that will likely play psychological tricks on students.

The Data: The College Board actively softened the legacy math questions (20 were shifted easier, while only 16 shifted harder), heavily normalizing the old pool toward "Medium". However, they simultaneously dropped 65 newly minted "Hard" questions into the math bank.

What to Expect: The first, baseline Math Module will likely feel very straightforward and smooth, so that u have a false sense of security with accessible Algebra. The routing into Module 2 will then kick ur ass with the 65 new "Hard" concepts, particularly non-linear functions (18 affected questions) and systems of equations. The difficulty curve between Math Module 1 and Module 2 will be exceptionally steep on August 22nd.

Note: this data and prediction is made by the new 120 questions added to the question bank on 30th July. This is not definite but just a prediction from my end after analysis. Thank you!

The mathematical recalibration reveals a fascinating balancing act that will likely play psychological tricks on students.

The Data: The College Board actively softened the legacy math questions (20 were shifted easier, while only 16 shifted harder), heavily normalizing the old pool toward "Medium". However, they simultaneously dropped 65 newly minted "Hard" questions into the math bank.

What to Expect: The first, baseline Math Module will likely feel very straightforward and smooth, so that u have a false sense of security with accessible Algebra. The routing into Module 2 will then kick ur ass with the 65 new "Hard" concepts, particularly non-linear functions (18 affected questions) and systems of equations. The difficulty curve between Math Module 1 and Module 2 will be exceptionally steep on August 22nd.

Note: this data and prediction is made by the new 120 questions added to the question bank on 30th July. This is not definite but just a prediction from my end after analysis. Thank you!

Note: This prediction is made from the newly added 151 ERW questions in the question bank!

1. The Influx of Hard Verbal: They just flooded the verbal question bank with 150 brand-new questions, and a staggering 85 of them (56.7%) are classified strictly as "Hard".
2. The Push on Legacy Questions: At the same time, they re-evaluated 48 existing Information and Ideas questions, shifting 30 of them into harder difficulty tiers.
3. What to Expect: Students who route into the Hard adaptive module for Reading and Writing will likely face highly dense, complex passages focused on Command of Evidence (which saw 42 affected questions) and Inferences (which saw 32 affected questions). Be prepared for aggressive traps related to scientific summaries and historical text comprehension.

oof 💀

Cmon MOD

what does this indicate? A very high shift towards geometry in August??

So the thing is, I am currently in 12th grade, and I am very deeply interested in computational neuroscience. I am not interested in these usual subjects like physics, chemistry, and math. I know they are important, but I don't think I have the caliber to do or crack JEE and get placement in IISc. It's not that I don't have any knowledge. It's not like I'm very bad at those subjects. It's just that I am not a person who is meant for competitive exams. I have really heard a lot about the research culture in IISc, which is what makes me attracted to it. The thing is that I wasted my 11th by not doing these subjects, like usual subjects like physics, chemistry, or maths, but rather have been deeply inclined towards research aspects; I have written four research papers on computational neuroscience. I have research internships at prestigious US universities such as MIT, Stanford, CMU, and NTU of Asia. I have collaborations with professors all over the world. My first paper has also been cited by professors at MIT. So it's like I am into research, and I have thought of doing it and pursuing it again, but if JEE is the only way, I am not sure what I can do then : ( Please help 🙏🏻

Extracurriculars

01. Research Intern – MIT

• Worked on neuro-symbolic AI systems and intelligent reasoning frameworks.

02. Research Intern – CMU

• Participating in research related to computational medical imaging and cortical layer segmentation.

03. Research Intern – Nanyang Technological University

• Working on AI applications in education and health using multimodal data.

04. Independent Researcher – AI & Computational Neuroscience

• Completed three independent research manuscripts at the intersection of artificial intelligence, computational neuroscience, and neurodegenerative disease modeling. Forward to publish and get them accepted in 3 months

05. First Author – Accepted IEEE Conference Paper

• First author on an accepted IEEE conference paper in artificial intelligence and large language models.

06. Neuroscience Laboratory Volunteer

• Gained exposure to MRI and neuroimaging technologies that inspired later research interests.

07. Founder – AI for Alzheimer's Project

• Building a device for Alzheimer's patients that learns mobility patterns and detects instability while helping preserve independence.

08. Machine Learning Intern

• Worked on improving predictive performance and optimization of machine learning models.

09. Founder & President – Community Impact Club

• Raised $5k+ for animal welfare and water conservation initiatives.
• Organized fundraising sports tournaments and community impact initiatives.

10. Youth President – Healthcare NGO

• Led healthcare outreach and disease-awareness initiatives impacting 1,200+ individuals.

Rate it out of 10 and lmk what yall think is to be changed or iterated or removed or whatver. Open for harsh suggestions as well : )

Demographics

• Gender: Male
• Ethnicity/Nationality: Indian
• Residence: India
• Type of School: Private CBSE school with little to no history of sending students to Ivy League/T20 universities
• Hooks: None (not legacy, recruited athlete, URM, or first-gen)

Intended Major

• Artificial Intelligence
• Computer Science

Financial Aid

• International applicant requesting partial financial aid.
• Family contribution for undergraduate education: approximately $125k total.

Academics

SAT: 1380 (Retaking)

Grades

• Grade 9: 85%
• Grade 10 (Board): 92.4%
• Grade 11: 96.1%
• Grade 12 Predicted: 97%

AP Scores

• Calculus BC: 3 (AB Subscore: 4)
• Computer Science A: 2
• English Language: 2

Additional Context: I was hospitalized with pneumonia during AP exam season, which significantly impacted my preparation and performance.

Awards & Honors

• Stanford Math Tournament 2026: top 10 in calc n algebra
• Brown University Math Olympiad: top 5 indivisually, 1st Place Team Ranking, Team Leader.
• National Finalist (Top 60) in a major science and environmental competition.
• Elected Head Boy of my school; designed and delivered introductory AI workshops to 400+ students.
• Selected participant in Y Combinator Startup School among 28k people

Extracurriculars

1. Founder & President – Community Impact Club

• Raised $5k+ for animal welfare and water conservation initiatives.
• Organized fundraising sports tournaments and community impact initiatives.

2. Youth President – Healthcare NGO

• Led healthcare outreach and disease-awareness initiatives impacting 1,200+ individuals.

3. Research Intern – MIT

• Worked on neuro-symbolic AI systems and intelligent reasoning frameworks.

4. Research Intern – CMU

• Participating in research related to computational medical imaging and cortical layer segmentation.

5. Research Intern – Nanyang Technological University

• Working on AI applications in education and health using multimodal data.

6. Independent Researcher – AI & Computational Neuroscience

• Completed three independent research manuscripts at the intersection of artificial intelligence, computational neuroscience, and neurodegenerative disease modeling. Forward to publish and get them accepted in 3 months

7. First Author – Accepted IEEE Conference Paper

• First author on an accepted IEEE conference paper in artificial intelligence and large language models.

8. Neuroscience Laboratory Volunteer

• Gained exposure to MRI and neuroimaging technologies that inspired later research interests.

9. Founder – AI for Alzheimer's Project

• Building a device for Alzheimer's patients that learns mobility patterns and detects instability while helping preserve independence.

10. Machine Learning Intern

• Worked on improving predictive performance and optimization of machine learning models.

Intended Academic Theme

Interested in applying artificial intelligence and computational neuroscience to understand neurodegenerative diseases and build technologies that improve quality of life and independence for patients with conditions such as Alzheimer's disease.

Essays/LORs (Predicted)

• Essays: Hopefully strong (8.5-9/10), centered around AI, neuroscience, and healthcare applications.
• Teacher Recommendations: Likely 8-9/10.
• Additional Information Section: Explanation of AP performance due to hospitalization.

Schools

• t25s, ivys'

Questions:

1. How much do the AP scores hurt given the hospitalization context?
2. Assuming I improve my SAT, how competitive is my profile for T20s as an international applicant?
3. Is the AI + computational neuroscience narrative compelling, or does it come across as too niche?
4. Realistic chances at MIT, Stanford, CMU SCS, and the Ivies?

Demographics

• Gender: Male
• Ethnicity/Nationality: Indian
• Residence: India
• Type of School: Private CBSE school with little to no history of sending students to Ivy League/T20 universities
• Hooks: None (not legacy, recruited athlete, URM, or first-gen)

Intended Major

• Artificial Intelligence
• Computer Science

Financial Aid

• International applicant requesting partial financial aid.
• Family contribution for undergraduate education: approximately $125k total.

Academics

SAT: 1380 (Retaking)

Grades

• Grade 9: 85%
• Grade 10 (Board): 92.4%
• Grade 11: 96.1%
• Grade 12 Predicted: 97%

AP Scores

• Calculus BC: 3 (AB Subscore: 4)
• Computer Science A: 2
• English Language: 2

Additional Context: I was hospitalized with pneumonia during AP exam season, which significantly impacted my preparation and performance.

Awards & Honors

• Stanford Math Tournament 2026: top 10 in calc n algebra
• Brown University Math Olympiad: top 5 indivisually, 1st Place Team Ranking, Team Leader.
• National Finalist (Top 60) in a major science and environmental competition.
• Elected Head Boy of my school; designed and delivered introductory AI workshops to 400+ students.
• Selected participant in Y Combinator Startup School among 28k people

Extracurriculars

1. Founder & President – Community Impact Club

• Raised $5k+ for animal welfare and water conservation initiatives.
• Organized fundraising sports tournaments and community impact initiatives.

2. Youth President – Healthcare NGO

• Led healthcare outreach and disease-awareness initiatives impacting 1,200+ individuals.

3. Research Intern – MIT

• Worked on neuro-symbolic AI systems and intelligent reasoning frameworks.

4. Research Intern – CMU

• Participating in research related to computational medical imaging and cortical layer segmentation.

5. Research Intern – Nanyang Technological University

• Working on AI applications in education and health using multimodal data.

6. Independent Researcher – AI & Computational Neuroscience

• Completed three independent research manuscripts at the intersection of artificial intelligence, computational neuroscience, and neurodegenerative disease modeling. Forward to publish and get them accepted in 3 months

7. First Author – Accepted IEEE Conference Paper

• First author on an accepted IEEE conference paper in artificial intelligence and large language models.

8. Neuroscience Laboratory Volunteer

• Gained exposure to MRI and neuroimaging technologies that inspired later research interests.

9. Founder – AI for Alzheimer's Project

• Building a device for Alzheimer's patients that learns mobility patterns and detects instability while helping preserve independence.

10. Machine Learning Intern

• Worked on improving predictive performance and optimization of machine learning models.

Intended Academic Theme

Interested in applying artificial intelligence and computational neuroscience to understand neurodegenerative diseases and build technologies that improve quality of life and independence for patients with conditions such as Alzheimer's disease.

Essays/LORs (Predicted)

• Essays: Hopefully strong (8.5-9/10), centered around AI, neuroscience, and healthcare applications.
• Teacher Recommendations: Likely 8-9/10.
• Additional Information Section: Explanation of AP performance due to hospitalization.

Schools

Reaches

• MIT
• Stanford
• Carnegie Mellon (SCS)
• Harvard
• Princeton
• Yale
• Columbia
• Cornell
• UPenn
• Brown
• UC Berkeley

Targets

• Georgia Tech
• UIUC
• UCLA
• UC San Diego
• University of Michigan

Matches/Safeties

• Purdue
• University of Wisconsin-Madison
• Texas A&M
• Virginia Tech

Questions:

1. How much do the AP scores hurt given the hospitalization context?
2. Assuming I improve my SAT, how competitive is my profile for T20s as an international applicant?
3. Is the AI + computational neuroscience narrative compelling, or does it come across as too niche?
4. Realistic chances at MIT, Stanford, CMU SCS, and the Ivies?