An intelligent, end-to-end AI platform that transforms how students prepare for international graduate applications.
From profile building to test prep, SOP refinement to research cold emails — this system acts as a structured AI co-pilot throughout the entire journey.
To eliminate randomness, missed deadlines, generic applications, and inefficient preparation in the study abroad ecosystem by building a fully adaptive, data-driven, AI-powered preparation engine.
We aim to answer the most important student question:
"What should I be doing today to be ready for Fall 2027?"
And then actually make it happen.
Unlike traditional platforms that provide static resources, this system:
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Adapts daily schedules dynamically
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Recalculates study plans based on improvement
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Generates fresh IELTS writing prompts on demand
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Scores writing and speaking using AI
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Detects SOP weaknesses without rewriting the student’s voice
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Drafts structured, program-specific LORs
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Generates highly targeted research cold emails
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Provides actionable resource recommendations
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Maintains a structured, unified student profile across all modules
This is not just a toolkit. It is a fully integrated AI workflow engine.
Our platform is architected around AMD GPUs (ROCm stack) and AMD EPYC processors to enable scalable, cost-efficient AI-driven infrastructure.
We leverage AMD GPU acceleration for:
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Whisper-based speech evaluation
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Writing & speaking AI inference
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Batch exam feedback processing
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Parallel LLM workloads
ROCm-compatible execution ensures low latency, high throughput, and efficient scaling as student usage increases.
Our backend runs on AMD EPYC-powered infrastructure to support:
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Multi-core parallel schedule computation
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Concurrent diagnostic evaluations
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Adaptive workload orchestration
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High-throughput AI services
EPYC’s high core density enables efficient parallel task execution across thousands of users.
By aligning with AMD architecture, we achieve:
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Optimized price-to-performance
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Reduced cost-per-inference
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Energy-efficient AI scaling
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Affordable access for students
This infrastructure ensures performance, scalability, and sustainability as the platform grows.
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Conversational profile collection
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Intelligent extraction of:
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CGPA
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Institution
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Target country
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Degree level
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Intake year
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Family income
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Career goal
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Automatic normalization and validation
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Follow-up question generation for missing fields
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Profile completion scoring
Outcome: A unified student profile that drives every downstream module.
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Works backward from intake year
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Generates day-level calendar
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Phase-based planning:
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Exam phase
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SOP phase
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LOR phase
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Application phase
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Automatic 2-week buffer before hard deadlines
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Intensity scaling based on days remaining
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Urgency-based priority tagging (Green / Yellow / Red)
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Adaptive rebalancing when tasks are missed
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Weekly AI digest ("This week matters because...")
Outcome: Students always know what to do today and why it matters.
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AI-generated reading passage with MCQs
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AI-generated writing prompt
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AI-generated speaking cue card
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Reading auto-graded
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Writing scored via rubric-based AI evaluation
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Speaking analyzed using:
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Whisper transcription
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Acoustic metrics (pause, pitch, filler density)
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LLM structured feedback
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Dynamic IELTS-style prompt generation
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Band scoring across:
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Task response
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Coherence
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Lexical resource
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Grammar
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Line-level feedback
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Generic phrase detection
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Skill profile auto-update
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Acoustic analysis:
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Speech rate
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Long pauses
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Pitch variation
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Vocabulary diversity
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Band estimation heuristic
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AI coaching feedback
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Skill gap calculation
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Dynamic time allocation per skill
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Schedule auto-recalibration
Outcome: Structured, measurable progress toward target score.
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Gap-aware recommendations
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Weakest skill detection
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Structured outputs:
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YouTube resources
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Practice drills
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Strategic advice
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Personalized study guidance
Outcome: Students don’t just know their weaknesses — they know how to fix them.
We do NOT generate full SOPs.
Instead, we:
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Score draft using admissions-style rubric
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Detect generic phrases
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Evaluate:
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Career clarity
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Narrative flow
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Program fit
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Writing quality
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Authenticity
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Provide line-level suggestions
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Highlight missing elements
Outcome: Stronger, authentic, program-aligned SOPs.
Structured LOR drafting tool.
Input:
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Recommender type
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Relationship duration
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Student strengths
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Projects
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Target program
Output:
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4–5 paragraph structured LOR draft
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Specific examples highlighted
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Professional tone
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Customizable template
Outcome: High-quality, program-specific recommendation drafts.
Helps students secure research internships.
Features:
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Research abstract analysis
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Student–professor overlap detection
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Specific technical alignment extraction
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4-paragraph structured cold email generation
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Generic phrase filtering
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Response probability estimation
Outcome: Highly targeted emails instead of mass mailing.
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Admit probability score
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Profile improvement simulator
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Safe / Target / Ambitious classification
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Faculty alignment NLP scoring
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Eligibility-based filtering
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Competitiveness scoring
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Deadline prioritization
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Financial planning integration
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Backend: Flask
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Database: PostgreSQL
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ORM: SQLAlchemy
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Authentication: JWT
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LLM Integration:
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Gemini 2.5 Flash
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Groq + LLaMA 3
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Speech Processing:
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Faster-Whisper
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Librosa
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Parselmouth
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Profile → Diagnostic → Skill Gap → Schedule → Practice → Re-score → Rebalance → Recommend → Improve
Everything feeds back into the system.
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Profile created
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Diagnostic establishes baseline
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Skill profile updated
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Schedule generated
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Writing / Speaking practice updates skills
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Schedule recalibrates
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Resource recommendations adjust
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SOP and LOR modules assist application readiness
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Cold email supports research profile building
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University and scholarship matching guides final applications
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SOP not auto-written
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LOR labeled as draft
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AI band scores clearly marked as estimated
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Student retains authorship and control
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No fabricated research claims
Most platforms provide:
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Static test questions
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Generic SOP templates
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Non-adaptive schedules
This system provides:
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Live-generated test content
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Adaptive scheduling
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AI-driven skill recalibration
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Structured feedback loops
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Unified preparation ecosystem
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Reduces retest costs
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Prevents missed deadlines
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Improves application quality
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Increases research internship success rate
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Provides clarity and structure in a chaotic process
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Real-time band projection engine
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Visa timeline integration
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Google Calendar sync
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Scholarship competitiveness scoring
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Undergraduate students targeting MS / PhD
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MBA aspirants
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Research-focused applicants
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Students from emerging education systems navigating global applications
This project is not a collection of AI tools.
It is an integrated, adaptive preparation system designed to guide students from confusion to clarity — one intelligent decision at a time.