You will get AI-Driven Report Systems with LLMs, FastAPI & RAG Pipelines
Project details
Context-Aware Answers – Users get precise, file-specific answers pulled directly from their uploaded documents
LLM-Powered Intelligence – Built using LangChain + OpenAI, with vector search (FAISS) for deep semantic understanding.
Fast, Secure & Scalable – Runs on FastAPI, deployable on Render or any cloud platform with fast file handling and response.
No Setup Required – Just upload your PDF and ask — no code, no extra tools.
LLM-Powered Intelligence – Built using LangChain + OpenAI, with vector search (FAISS) for deep semantic understanding.
Fast, Secure & Scalable – Runs on FastAPI, deployable on Render or any cloud platform with fast file handling and response.
No Setup Required – Just upload your PDF and ask — no code, no extra tools.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, Databricks MLflow, Google Sheets, GPT-3, Microsoft Excel, Microsoft Power BI, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, Tableau, TensorFlow, TextBlobWhat's included
| Service Tiers |
Starter
$100
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Add UI for uploading PDFs
+$50
Add logging for metrics (latency, accuracy, citations)
+$50About Rushika Reddy
AI & Machine Learning | Amazon Web Services, Anaconda, Cloud Services
Leander, United States - 6:35 pm local time
I specialize in ML, GenAI, NLP.
ML & AI: Predictive modeling, NLP, LLM fine-tuning, RAG pipelines
Voice & Chat AI: Whisper transcription, emotion detection, GPT-based feedback
Apps: Python GUIs (Streamlit, Tkinter)
Data Science: EDA, feature engineering, visualization, SQL
Projects:
RAISE : Real-time voice analysis app with transcription, emotion graphs, GPT feedback, and ZIP export
Hospital Readmission Predictor: AI model for patient risk assessment
Numpy Matrix Tool: Made an efficient tool that solves 5x5 matrixes using Unary operators(Eigen values,Determinants,Transpose,Inverse,Rank),Simple operations(Addition,Subtraction,Multiplication,Division)
Tools:
Python, R,SQL, Streamlit, Whisper, Pyannote, Hugging Face, OpenAI API, scikit-learn, TensorFlow, Git
Steps for completing your project
After purchasing the project, send requirements so Rushika Reddy can start the project.
Delivery time starts when Rushika Reddy receives requirements from you.
Rushika Reddy works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements
Client provides project goals, sample PDFs (if any), expected use-case, and desired UI flow. Enable PDF upload Extract content using PyMuPDF or pdfminer Split into chunks for embedding Provide GitHub repo + deployment links Share usage instructions