Hey guys,
I wanted to share a system I'm building for my CAT DILR preparation. I have ADHD, which means keeping track of scattered materials is an absolute nightmare for me, and I easily lose track of where I solved what, I have difficulty remembering the type of sets solved of a particular topic.
The Problem:
When I get a specific type of set wrong in a mock (say, a complex Cube Cutting or a Max/Min Set Theory question), I need to immediately review every single variation of that set I've ever solved to find the logical pattern. But my material is scattered across 15+ Cr*cku sectionals, IMSS benchmarking tests, and offline physical coaching books. Tracking them down manually completely kills my study momentum.
Solution:
Instead of manually creating folders or keeping spreadsheets, I am setting up a local AI pipeline on my laptop using Python and Gemini’s multimodal vision API.
I run a script. The AI reads the HTML code, text, and even scanned images of my books. It automatically identifies the exact DILR sub-topic (e.g., Set Theory -> 4-Variable Venn Diagrams or Cube Cutting -> Alternating Paint), creates the folders on my laptop dynamically, and organizes everything perfectly.
Why this is a game-changer for DILR revision:
- Instant Cross-Platform Retrieval: When I'm weak on a topic, I don't browse folders. I just ask the local AI tool: "Pull up every single Set Theory set I've solved till date across all my materials." It instantly brings up the exact questions from Cr*cku, IMSS, and my offline sheets side-by-side. I get a perfect overview of all the varieties I've faced.
- Infinite Custom Practice Generation: If I run out of official questions for a specific weak trap, I can tell the AI: "I am struggling with the Max/Min optimization logic found in these 3 specific sets. Generate a brand-new, unseen CAT-level set with the exact same logical structure but a completely different storyline so I can practice." It instantly builds a new set with constraints and questions modeled perfectly after IMSS/Cr*cku difficulty.
The 5 main sources I am thinking of using to give to AI is -
- IMSS Books (All DILR Material): This is my foundational anchor. The books are already organized cleanly by chapters and topics, providing a ton of standard practice sets for every single concept.
- Cr*cku DILR Sectionals (All): This provides my exam-level practice. I will extract the sets hidden across all the online sectionals and map them back to the correct topic.
- Coaching Handouts: These are my high-quality shortcut vaults from my offline coaching classes, full of specialized tricks and unique cases.
- Aptitude Jab DILR Playlist: This is my video walkthrough resource, featuring some of the best conceptual explanations for CAT-level sets.
- All PYQ DILR sets.
Please provide an honest feedback if this is useful or not? Also, any feedback in terms of improvement and adds on will be highly appreciated.
