You will get Student GPA Prediction using Deep Learning
Project details
Developed a GPA Prediction Model using a 10-layer Deep Learning (MLP) architecture with 1.29M+ parameters. The goal was to predict Students’ GPA with high accuracy, support early detection of at-risk students, and enable data-driven decision-making for Educators and Administrators. Implemented preprocessing, one-hot encoding, normalization, callbacks (EarlyStopping, ReduceLROnPlateau), and hyperparameter tuning. Achieved strong performance with >90% R², ensuring scalable, reliable deployment for real-world university applications.
Machine Learning Tools
Keras, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlowWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 2 | 5 | 5 |
Number of Model Variations | 2 | 5 | 10 |
Number of Scenarios | 1 | 3 | 8 |
Number of Graphs/Charts | 2 | 4 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
Frequently asked questions
About Muhammad
AI/ML Engineer | Custom Generative AI & Predictive Models
Karachi, Pakistan - 7:27 am local time
I make AI practical — turning bold ideas into scalable Generative AI, ML & DL solutions that deliver measurable business results.
🌎 Who I Work With
Startups, SMEs, and Entrepreneurs who need Customize LLMs, Predictive, Descriptive, Prescriptive, Discriminative Analytics, and AI-powered assistants that are reliable, scalable, and ready for real-world impact.
⚡ What I Deliver
Production-ready LLM Prototypes & fine-tuning (GPT, Stable Diffusion, Whisper, Wan 2.2 or any other).
Custom Chatbots & Voice assistants with API/CRM/database integration.
Generative Conversational/ Image/ Video/ Voice/Speech pipelines for Automation.
Machine Learning and Deep Learning models for HealthTech, EdTech or other & SaaS.
End-to-end AI pipelines → Data Gathering → Data Preprocessing → Model Development → Optimization → Deployment → Maintenance.
🔑 How I Work
Discovery & Prototype — align goals and deliver demos.
Build & Iterate — weekly milestones, transparent updates, live staging.
Deploy & Maintain — CI/CD, monitoring, documentation, and handover & Post support.
đź“Š Results & Case Work
Student GPA Predictor — Deep MLP → achieved >90% R² accuracy.
AI Coloring Page Generator — Generative CV pipeline for print-ready Images.
Customize Real Estate Model — Machine Learning MLR → achieved >80% R² accuracy
(Demos & Screenshots being attached in portfolio.)
🛠️ Tech Stack
Hugging Face | PyTorch | TensorFlow | LangChain | OpenAI API | FastAPI | Docker | AWS | and more
✨ Why Clients Choose Me
Business-focused: Solutions built for impact, not just code.
Research-driven: Every project backed by latest AI/ML practices.
Creative edge: From MVPs to full SaaS launches, I transform vision into usable products.
đź“Ś Next Step:
Take a look at my portfolio or book a strategy call. Let’s turn your idea into a real AI product that scales.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Client provides dataset, desired features, and output preferences.
Data Preprocessing
Clean, normalize, encode, and prepare the dataset.