Machine Learning
AI Resume Screening System
NLP pipeline that ranks candidates against a job description
- Python
- spaCy
- scikit-learn
- FastAPI
- +2
Source code · Report · Viva prep
Machine learning is the most requested domain for final year projects in computer science, and also the one examiners probe hardest. A model that scores well is not enough. You will be asked why you chose that algorithm, how you split the data, what the confusion matrix is telling you and what happens when the input drifts.
Ready to build
Machine Learning
NLP pipeline that ranks candidates against a job description
Machine Learning
Detect emotion from voice using spectrogram features
Machine Learning
Leaf-image classifier with an offline mobile front end
Machine Learning
Transformer classifier with claim highlighting and source scoring
Machine Learning
Risk scoring from clinical data, with explainable outputs
Machine Learning
Real-time ISL fingerspelling to text from a webcam
Machine Learning
Classifies Parkinson's markers from sustained-vowel voice features
Machine Learning
Meal plans tuned to BMI, goal, health conditions and food preference
Machine Learning
Predicts CKD from routine clinical and lab values
Machine Learning
Compares classic ML and a neural network on clinical cirrhosis data
Machine Learning
Predicts stroke risk from health records with imbalance handling
Machine Learning
Suggests traditional wellness practices from symptoms and dosha
Machine Learning
Sorts tweets into hateful, offensive or neutral with an explained model
Machine Learning
Picks the most important sentences using TextRank and TF-IDF scoring
Machine Learning
Finds misspellings and ranks corrections by edit distance and context
Machine Learning
Identifies the language of a sentence from character n-grams
Machine Learning
Flags sarcastic news headlines with classic and neural models
Machine Learning
Finds copied and paraphrased passages and highlights the matches
Machine Learning
Classifies song clips by genre from MFCCs and spectrograms
Machine Learning
Fuses price features with tweet sentiment to predict next-day direction
Machine Learning
Bitcoin and Dogecoin movement modelled from price history and tweet mood
Machine Learning
Flags suspicious product reviews and tracks them on a moderation dashboard
Machine Learning
Estimates Indian domestic airfares from airline, route and timing
Machine Learning
Four classic classifiers benchmarked properly on one public dataset
Machine Learning
TF-IDF and Naive Bayes spam filter with a paste-and-check web demo
Machine Learning
Predicts the first-innings total from the live state of an IPL match
Machine Learning
Content-based and collaborative filtering on MovieLens with TMDB posters
Machine Learning
Imbalanced classification with SMOTE, cost-aware thresholds and PR curves
Machine Learning
Forecasts daily store orders from calendar, holidays and promotions
Machine Learning
Classifies hand gestures from forearm muscle signals
Machine Learning
A complete beginner ML workflow on the classic Iris dataset
Machine Learning
Predicts wine quality from its physicochemical test results
Machine Learning
Regression on the classic tips dataset with clear statistical reasoning
Machine Learning
Basket-aware product suggestions trained on Instacart order history
Machine Learning
Personalised book suggestions from ratings and descriptions
Machine Learning
Classifies loan applications with a fairness check on the result
Machine Learning
Segments borrowers by default risk and suggests a recovery approach
Machine Learning
Regression on the USGS catalogue, with honest limits stated up front
Machine Learning
Estimates yield from state, season, crop and rainfall
Machine Learning
Recognises walking, sitting, stairs and more from phone motion data
Machine Learning
Estimates placement chances from a student's academic record
Machine Learning
Real-estate price regression with a web form for new listings
Machine Learning
Predicts ad clicks with feature hashing and gradient boosting
Machine Learning
HR portal that compares models and explains attrition risk
Machine Learning
Predicts global game sales from genre, platform and publisher
Machine Learning
Character-level model that guesses the linguistic origin of a name
What you get
Every machine learning kit here ships with the training notebook, the cleaned dataset, a working web or mobile front end, and a report that walks through data preparation, model selection, evaluation metrics and limitations chapter by chapter, so you can defend each decision in your viva.
Your topic is not in the catalogue yet? We build to your problem statement too.
Ask about a custom buildQuestions
Pick one where you can explain the data end to end. Text classification (fake news, sentiment) and image classification (crop disease, traffic signs) are strong choices because the dataset is public, the metrics are standard and the demo is visual.
Yes. Each kit includes the dataset or sample data along with the preprocessing and training code, so you can rerun the whole pipeline in front of your guide if asked.
Not to run them. Inference runs on an ordinary laptop. Retraining a deep learning model is much faster on a GPU, and Google Colab gives you one for free.
Deadline approaching?
Send your abstract, rubric or guidelines document. You get a straight answer on scope, timeline and price within a day — no obligation.