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AI-Powered · Grades & Results

Free AI Grade Prediction Engine

Enter current scores, attendance, and assignment signals to receive AI-generated subject-by-subject grade forecasts with confidence levels, key contributing factors, risk alerts, and recommended actions — before final exams.

AI-generated output · Free account required · Results may vary

The AI Grade Prediction Engine models likely final grades from the signals you have right now. Enter subject scores, attendance rate, assignment completion, and remaining assessments — the AI returns a per-subject forecast with confidence levels, the key factors driving each prediction, risk alerts for at-risk subjects, and prioritised recommended actions. Everything is editable and PDF-ready.

Student & Context
Performance Signals
Prediction Options
Prediction preview Enter student details
Horizon and tone shape the forecast
~8 credits · ~1,050 tokens fixed cost per prediction

Enter student name, current term, and subject scores to enable AI grade prediction

AI-generated content. Review before use — outputs may contain errors or require adjustments for your specific context.

Your grade forecast appears here Enter current scores and performance signals to receive subject-by-subject grade predictions with confidence levels, contributing factors, and risk alerts.

How to Predict Student Grades in 3 Steps

Follow these steps to get results in under a minute

01
Enter student and context details
Add the student name, class level, current term, and grade scale so the AI understands the assessment context for the prediction.
02
Enter performance signals
Paste current subject scores with optional remaining assessment weight, attendance rate, and assignment completion rate to give the AI the best available data.
03
Review predictions and act on alerts
Read the per-subject forecasts with confidence levels and key factors. Act on risk alerts, copy the report, or download a formatted PDF to share with the student or parents.
Common Questions

Free AI Grade Prediction Engine FAQ

What is an AI grade prediction engine?
An AI grade prediction engine analyses available performance signals — current scores, assignment completion, attendance, and remaining assessments — to forecast each subject's likely final grade, with a confidence level and the key factors driving that prediction.
How do I use the free AI grade prediction engine?
Enter the student name, current subject scores, and available signals such as attendance rate and assignment completion. Choose a prediction horizon and tone, then confirm generation to receive per-subject grade forecasts, risk alerts, and recommended actions.
Is the AI grade prediction engine free?
Free accounts include 100 AI credits. Each prediction session uses a small fixed number of credits. Sign up free to get started — no subscription required.
How accurate are AI grade predictions?
Predictions are based on patterns in the signals you provide — the more complete and accurate your input, the more reliable the forecast. The AI returns a confidence level (High, Medium, or Low) for each subject so you know how much weight to give each prediction.
Who should use this grade prediction engine?
Teachers, academic advisors, school administrators, and parents can use it to identify at-risk students early, prioritise interventions, and have evidence-based conversations about likely outcomes before final assessments.

How AI Grade Prediction Engine Compares

vs spreadsheets, manual processes, and paid platforms

Feature UniCloud360 AI Grade Prediction Engine Manual estimationSpreadsheet modelGut feel
Per-subject grade forecast with confidence level AI-modelled from scores, attendance, and assignment signals Requires manual calculation per subject ⚠️ Formula only, no confidence rating ⚠️ No structured output
Key contributing factors per prediction Named drivers for each subject forecast Not explained ⚠️ Not included ⚠️ Not documented
Risk alert for at-risk subjects Automatically flags subjects likely to fail or decline Must identify manually ⚠️ Threshold trigger only ⚠️ No systematic flagging
Recommended actions per risk Specific next steps prioritised by impact Not included ⚠️ Not included ⚠️ Not structured
Editable output and PDF export Edit every section, copy or download PDF ⚠️ Spreadsheet export only ⚠️ No narrative output ⚠️ Nothing to export

What Educators and Students Say

Trusted by lecturers and students across Sri Lankan universities

4.9
★★★★★
91 ratings
DP
Dr. Patricia Nwosu
Head of Academic Affairs
★★★★★

"We now run this before every mid-term review. It surfaces at-risk students two to three weeks before we would normally catch them — genuinely preventative rather than reactive."

TE
Tom Eriksson
Secondary School Teacher
★★★★★

"The confidence levels make this actually useful. I don't treat every low prediction the same — high-confidence risk alerts get acted on immediately, medium-confidence ones go on my watch list."

PA
Priya Anand
Undergraduate Student
★★★★☆

"I entered my assignment scores and attendance and the predicted grade matched my actual result almost exactly. Really useful for deciding where to focus revision time."

CM
Carla Mendes
Academic Advisor
★★★★★

"Before student check-ins I run this to get a data-informed forecast. It gives the conversation a concrete starting point rather than just impressions."

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