Research-backed projects. Delivered end-to-end.
SpaceDrift delivers complete, submission-ready ML/AI engineering projects for B.Tech, B.A., M.Tech, and Ph.D. students — bundled with a co-authored research paper. Every project is custom-built, technically rigorous, and aligned with your university's academic standards.
At SpaceDrift, we specialize in building production-quality ML and AI projects for students at every academic level — from final-year B.Tech and B.A. dissertations to M.Tech theses and Ph.D. research prototypes. Every project we deliver is technically sound, well-documented, and built to meet the evaluation standards of leading universities.
Our team covers the full spectrum of ML disciplines: Natural Language Processing (text classification, NER, summarization, RAG pipelines), Computer Vision (object detection, image classification, segmentation), Deep Learning (custom neural architectures, transfer learning), and Data Science & Analytics (predictive modeling, EDA, dashboards). We don't deliver generic templates — every project is built from scratch for your specific problem statement.
Each engagement includes both the complete working project codebase and a co-authored research paper written in standard IEEE or Springer format, ready for submission to journals or as part of your thesis. We handle the engineering, the writing, and the documentation — so you can focus on understanding and presenting your work.
What you receive
Fully implemented, tested, and commented Python codebase covering data preprocessing, model training, evaluation, and inference.
Co-authored research paper written in IEEE or Springer format — abstract, literature review, methodology, results, and conclusion — ready for journal or thesis submission.
Trained model with performance benchmarks, evaluation metrics, and visualizations (confusion matrices, loss curves, accuracy plots).
Detailed academic project report formatted to standard university guidelines, including problem statement, objectives, and references.
A structured PowerPoint presentation covering your project — ready for viva voce, seminars, or internal reviews.
2 weeks of support for clarifications, viva preparation questions, minor modifications, and guidance on presenting your work.
Step by step
We understand your academic level, domain preference, university guidelines, and submission deadline before scoping the project.
We propose 2–3 project topics aligned with current research trends. Once confirmed, we provide a written scope and timeline.
Dataset sourcing, cleaning, and preprocessing — all documented for inclusion in your methodology chapter.
Full model training pipeline with iterative improvements, ablation studies, and rigorous evaluation metrics.
Parallel writing of the research paper and academic report — structured, referenced, and formatted to your institution's standards.
All deliverables handed off with a walkthrough session. 2 weeks of post-delivery support for revisions and viva preparation.
Real numbers
Is this for you?
This service is designed for a specific type of client. If you see yourself in this list, we`re a good fit.
Ask Me AnythingTell me your project details and I`ll respond with a clear scope and fixed quote within 2 hours. No commitment required.